statspai/CITATION.cff,sha256=e52EX4sFK-j_qPwiFrqoBDJoamOea1sV07LG3mdy3O8,4057
statspai/__init__.py,sha256=UVcZMfrWvEgws3RRlJ7OfXtB4-V1ogNnBEUK1wBO3do,97900
statspai/__init__.pyi,sha256=mhlSfjn91JvjCK93Zkq-hEVjvEVRTjy2VZtIBq3wWZ4,95400
statspai/_agent_cards_extra.py,sha256=jjy7e6SoJ7M2bMlBmtw-AhYWE9jMFIiAc8GA2W2IJOU,189614
statspai/_agent_docs.py,sha256=W9WlmUElp8HIaGi3cN69H5QlJGTFwMvwK2Mb3PSO7nY,5779
statspai/_aliases.py,sha256=Zld7K0TKi69RbGNsmQ34as4ubKFz6Ftdh1DWKGa4C-I,9082
statspai/_article_aliases.py,sha256=VBGf3khICcpIOC3y58Ufcnce8BxCo2TuYyg4gWzZbTo,44462
statspai/_auto_estimators.py,sha256=LLrZ7euA-xgd-TWnJZVFh8JpgblBXKFdnj6JJh71ePA,27617
statspai/_baseline_cards.py,sha256=hP-tBu6V9-Xj2LbN8OBFRdfakjTvtg3OrM1uMl-BlaU,74143
statspai/_bibpath.py,sha256=91MKLLemQxn1XLxFuAd-xJQliT2iddTh0n5QVPHrAaE,2720
statspai/_build_info.py,sha256=kD-1ZedwU0Xbx79pZb5hTDdCGIGCTBg1g0nYESbd8c4,4519
statspai/_canonical_aliases.py,sha256=mv2Y2NnfU8L3N_3RMayTUpxlpSktngo7jl0QOPFhMGI,3865
statspai/_causal_family_seeds.py,sha256=vXiumZ83q-XlF2K0tt1c6w9e0kQX8VNHmnA5SFl0z9E,28731
statspai/_citation.py,sha256=YVeZzgN9fDqEx-sf0PSj6rCK2lbWFSvwcS461E1LIPU,7710
statspai/_discovery_search.py,sha256=g_eKyNLHbUpA9hFrYnqBfvKovQwzHdl23JpEDuLvfHU,17802
statspai/_family_cards.py,sha256=iZrBrMf3eQcg_eLQYqVW5MSB7jZyHF_qyJo_OcjWkGg,91747
statspai/_function_cards.py,sha256=if_M0B-AHl8moQ5OVKoWmfdOxu3iyu-rcScRoPQnjwU,45980
statspai/_function_cards_estimators.py,sha256=iK5LVqDUzelqTSf7tLIhzQdERULO0HcdXPfIldW1rlE,35004
statspai/_house_style.py,sha256=b_VC1c_xjKXUmWwLSP-N6FviVlbQEnDG3dYv9eX7XHo,11999
statspai/_input_validation.py,sha256=8WTqZf2w6kHpsQ5Y2c5qfA94rJ-VNtSUt7kQg0UUrb4,3761
statspai/_optional_deps.py,sha256=hnFxYKP1muQDkJuWOubgX-cfRGhh2iJKv6gUizKdjXk,1917
statspai/_parity_index.json,sha256=NYhL18Z4KOwnnDbUFZKYXnoWTEZ0Z4iQxIzQmapNLp4,892872
statspai/_parity_taxonomy.py,sha256=kCksDHAGIEK72VzcZN5xrMzBeBScrLckfFtkGmfE6co,22638
statspai/_result_contract.py,sha256=IjJ1XAY_I-g4rVSZTsedOXGWl_7vj0vfButRH0AgC9E,21084
statspai/_result_serialize.py,sha256=QLi9zITmRfg-Cik72pUognSeVi6922e4_Mk43XjU2sI,25075
statspai/_routing.py,sha256=eXamB_q8X7I64Z9th0IzeeaUGtPoYvybm20leDpyjI4,44562
statspai/_schema_enrich.py,sha256=rXf1qL-FnnPWG3GugGnyhQ7z2bs4Kwjx-wSQp3eq8WU,31114
statspai/_schema_export.py,sha256=JR3u9sQG-c3BZYtEFl0-WR7wraCFiA43PZ7MD4pXbLc,12723
statspai/cli.py,sha256=kj-PT9hnwSVG3G93cY-wPeCWdMOJCpxLm3dE2jOd-c0,27004
statspai/exceptions.py,sha256=MwM1RZbHdr3xVweLHnur_0BtOpKrYs5cI30iTMSHpvg,21275
statspai/help.py,sha256=ouUKoUnQXVV_0Hx8zkb2uW-zU2MhzJuzU7qiglCHKYw,32177
statspai/paper.bib,sha256=YstMurDAm2_231aIuFx0NVq9-I4LlrUn07M6WrKqsZQ,448331
statspai/parity.py,sha256=GwGMWaKdyj2KERsXxXetogasVP9pAg9p23fTW_xFJSo,14982
statspai/py.typed,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
statspai/registry.py,sha256=REKxZh8gehCtMSdtDpTB62yxR1bqpAi_9hVMfBFiBkQ,1556633
statspai/result_card.py,sha256=nXq2rmWDpjRpAwnYNs6HQ775wGCsx7P44QchGIIyEfU,21389
statspai/validation.py,sha256=CtizqjSVQIbIF_vAwx1MN9CeRMYArvEHDOLTLZjrtCs,47228
statspai/validation_scope.py,sha256=2f_jEVjI3gDc64pH_bgLF-2JNnIn-Bp7Aw4pskj8VSc,143974
statspai/agent/__init__.py,sha256=ZQEOZN9W-JK7EgSFzczEX1p77o3PyTy1GAFUnK3s1DA,2213
statspai/agent/_data_cache.py,sha256=yvNY85eURkGgsPGNQ9YngTeH5r-KMYpMuMLtC6llPvA,17640
statspai/agent/_data_loader.py,sha256=PNZJLmp5Sm7QwqOS2--icYfU_NgzsZmBw2p-gcfZ6NQ,25174
statspai/agent/_enrichment.py,sha256=spvOfF7gkiJedLpztH1ULth3W1slim1kEK7y2AsDf64,18524
statspai/agent/_errors.py,sha256=l6qZNAyVlzdZYZXB6VUiVpOtiJW0AgNkNT_2TsxwrLk,1100
statspai/agent/_output_budget.py,sha256=dhOl_0Hxqo_ah0GGMDtagoPLoWWrhKsg1u5GLmMWF7Y,15121
statspai/agent/_process_worker.py,sha256=RV7dfok_8JnB7tV98790vaQzmYKPFYdfxuplF88L-64,17421
statspai/agent/_prompts.py,sha256=klmmWW5NXnwUkJb-lBmsmg_fn6s55El8Imeb7tyz21M,21448
statspai/agent/_replay.py,sha256=_ndZYzpmVtOCEymk2WigkDUo4x3TC0Yb-HY6ETAE42Q,11708
statspai/agent/_resources.py,sha256=9EHo7MhPfaX85wUNyFIk_t-Mtgw9TQlMeDDUtk1gHZU,30041
statspai/agent/_result_cache.py,sha256=6cCoX0-Yf_OVd7NMaTJRj_hjHOfv4LI-B0PeI5R42go,16211
statspai/agent/_runner.py,sha256=F9XlBu3pbzivd-i6zdksl5Ve3L9C_o13aXF9kq3Z2pg,11814
statspai/agent/_sampling.py,sha256=Q-xP5Nxj9QVkINkk1tsM42M1f0DDTMTY7_vD-9WsBSo,8799
statspai/agent/auto_dispatch.py,sha256=kJRQavMGTB0Rh2gTN2VCTMQlYqBf7NRJ3XVkzJoZAMk,7639
statspai/agent/auto_tools.py,sha256=y1r2nfOoWyBR4mVi0rPv7lhYEQa9wcqdY3vNRQR-3L4,14947
statspai/agent/mcp_server.py,sha256=tyKaHgo9LSBO8KLnrz531sLy7-2GzULMQ8Q_8USXdTc,105909
statspai/agent/pipeline_tools.py,sha256=krYSVWbhHahXoUU2pwEh9bmeAgmmmZ1A81YMBoEj4qY,39837
statspai/agent/remediation.py,sha256=erIxeRZYIPVsZ8bt7iCwy_5OxDRptlab-nWdqBTB-Gs,34276
statspai/agent/workflow_tools.py,sha256=SPZbFhB7flEjlU42eXlhLvJSyNBIwIIwNg06SjorA90,94403
statspai/agent/_guides/choosing_did_estimator.md,sha256=QT0_r62oWpc1JjTgQk1ND11bG3hPGCXPx9tnJnv-72k,33105
statspai/agent/_guides/choosing_dynamic_panel_estimator.md,sha256=1h0R_kmWjnrQVovmAUDOtQaBuan8H8gh-LFJGLPYmDE,14854
statspai/agent/_guides/choosing_iv_estimator.md,sha256=j7FrAlCPhcqfuiHXOaNHkXCd-OesFMzPwj7iNdQZTMA,15115
statspai/agent/_guides/choosing_matching_estimator.md,sha256=pkeRZjomwEYZrMxvikngpNMskCwG7Xhu2HxkbyVlkN0,10887
statspai/agent/_guides/choosing_ml_causal_estimator.md,sha256=bJRKz-3TwrUcFfwstMTwqG17xYBUXjTSRI7VC-AdZN0,7339
statspai/agent/_guides/choosing_qte_estimator.md,sha256=4nfCx4jEMZVvehdxaMgDZr1eYVMVud_xirl0Hc71bYs,13440
statspai/agent/_guides/choosing_rd_estimator.md,sha256=WVLAHyQo4xr5e8BKHFm4o5RslKCtQwGMIbheQVLrdNE,9083
statspai/agent/_skill/SKILL.md,sha256=bbNR2f-c_JgLufrEu3fkczHgLq79kAtKFGi52sf55Tc,9881
statspai/agent/_skill/validate_api_claims.py,sha256=H6_uvrJRYpZrDZFs836KL-yfAV7vrW6olbNUK4zDYbA,27312
statspai/agent/_skill/references/common-mistakes.md,sha256=BdG8iNT0CniNsVa76QSZUpCh5RKudswp8yBu7mg1lNk,14831
statspai/agent/_skill/references/export.md,sha256=wMCkLhaH_mEIBxEO8CBLIYNBoBNI0Qsg2OA5G4jnsbw,14696
statspai/agent/_skill/references/mcp-and-cli.md,sha256=8Zke9w-Q4xepGZ5qI67lzUL7HQwhfiOXCidFFx-Ce4M,10740
statspai/agent/_skill/references/method-catalog.md,sha256=jxz8aciouVMTk25xLRPcCXY0Jfuewvfb1NBDFn04yOE,10050
statspai/agent/_skill/references/modern-methods.md,sha256=EY5D5-ex0_fiin0LvYv1r8upVUs25Ap7q3SIfJfuUbk,9195
statspai/agent/_skill/references/operating-loop.md,sha256=bH_gZ1VkiW0gkNPdEzSSU_tnojQ6VIdt6ZiO7jf5IIk,15369
statspai/agent/_skill/references/pipeline-econ.md,sha256=w8lW68-mj6HEvytBQ8_N6f03hJ1fUyi8DL1-z7h5aW8,60115
statspai/agent/_skill/references/pipeline-epi.md,sha256=pUD9EvkmztQg6JShmxpv2EIpMg_0MzM0g71Ntp_UrIY,13230
statspai/agent/_skill/references/pipeline-ml-causal.md,sha256=KUKj68x7WBsfJbWGVjTG_WZu261cGwpewYlqzEdptQU,12277
statspai/agent/_skill/references/quick-path.md,sha256=goj4sAW0nnjsRZuyexSYtOSiecaJ2O0kL40qL07nKO4,3803
statspai/agent/_skill/references/verified-skeleton.md,sha256=OlWq4B1gAeE-N2D2q2OCyccUdZuClCkns0Uw5C5NRrM,3805
statspai/agent/_translation/__init__.py,sha256=L3eK_jXapb8EymOhAnhyprFkL4Yis7YGw1vhVFDNoHc,1379
statspai/agent/_translation/_coverage.py,sha256=sx5NDYe4wiMzI3NXehyeMkfLuDKo4SPjQvXV_6plSZ4,7616
statspai/agent/_translation/_r.py,sha256=yJR7azt-b2HcD3AiqqjHXQHgN8Ju8TwL3P_dchD47oI,47984
statspai/agent/_translation/_stata.py,sha256=tToc4ncq-UaQIHWZaWDujPt_0-xuCJDNd7d2WTerjRE,204024
statspai/agent/_translation/_stata_balance.py,sha256=cUGMpJ5YGTA3xdWHSBrlax_PWqeqDb0t53F4UOpM04E,11369
statspai/agent/_translation/_stata_basics.py,sha256=rVdP0aCVJSo8_-j6eeACByNECCugZTtTRNjEKLWVQFI,26232
statspai/agent/_translation/_stata_choice.py,sha256=v-y_dx4MhhA0Fv59E2oWvjGF4CHdZX-BNgBeq8hwvLM,28666
statspai/agent/_translation/_stata_datastep.py,sha256=6bRQhCAzl5raGAprQcaSAtGRkfD6H2PxjmNtV2FuhRA,77417
statspai/agent/_translation/_stata_describe.py,sha256=uhsn1B6q8j4lGKo5ndDRUmcfi-ZHLUmNZu2vXAxBus4,74447
statspai/agent/_translation/_stata_design.py,sha256=_l2RzBnA6YWPECzBz8y8SkEoghhS2e_fInQ9fphY7k8,8224
statspai/agent/_translation/_stata_did.py,sha256=b-Cuk8x-i8D0ywS6QZJt6__5cHUhg3iMgaa4pN4Wicw,27017
statspai/agent/_translation/_stata_egen.py,sha256=J4dDbBPenzyWtWp71VEhFX5Lrzz2QR4UGx8GUddau48,20578
statspai/agent/_translation/_stata_expr.py,sha256=MM-Gqyo30co0OCCkvli2eLRUTkDRxmeaZhzr6rLVIVM,48199
statspai/agent/_translation/_stata_flow.py,sha256=VUtvC-WTo_Q6A1ws9QGwok5zypSW47dgUnzl4ddoL_g,16670
statspai/agent/_translation/_stata_functions.py,sha256=82D73K-0jxcZ9VagXKZ5Uk67hYz7-tnOHLZjO4GfQrk,31899
statspai/agent/_translation/_stata_irf.py,sha256=2naUnPkn4gCVHFUS76ONIaOmOK-HPNB1p2OgNU1W6-w,4435
statspai/agent/_translation/_stata_lexer.py,sha256=e58aMS1vRVWb_lH__8iXxS9ZkpiVh84BOOZJhk8Obng,7869
statspai/agent/_translation/_stata_macro.py,sha256=aM3oOHgpW6KQ9dXA7mSxO2GBXy71IDZY4PFxZJCxMPA,33941
statspai/agent/_translation/_stata_manage.py,sha256=UuGKKLnOroevMv1hd670_swrh6n2aNT5ikF0nob4fOk,44788
statspai/agent/_translation/_stata_margins.py,sha256=2VusU3-rxU39HEpszdT-4uX2gOhOZiiPqCWMwGCDL2M,9712
statspai/agent/_translation/_stata_matching.py,sha256=PngICnfxbUvvQGZMaZJGIH9jWIr5IlbDbDxtt0Fqi0g,13101
statspai/agent/_translation/_stata_matrix.py,sha256=NIsNaw-vhSCHLxXVCguk_3albfdsAdmBFs5u3AGXaOw,17069
statspai/agent/_translation/_stata_models.py,sha256=bolIDba9CzOyye8UNsf0tJouNeotGPTFfQP9YcRKTgI,21003
statspai/agent/_translation/_stata_multi.py,sha256=W6dl2meIr3dA2A_XlsBY_QIlbUzrf6B3VIb1dxgXTnw,22206
statspai/agent/_translation/_stata_options.py,sha256=xNBdAve1StjoEKNMEAz8wKygj94g1rppk_EGc5LgqMo,20255
statspai/agent/_translation/_stata_panel.py,sha256=4GsYdfvDbtfsplu34OZo2SED2KcvVaG_fadqp3qZtu0,4670
statspai/agent/_translation/_stata_postest.py,sha256=tZS857NMXA14Q_7VuzSg1jHya6NJXUP9hg17gFr1v3Q,7572
statspai/agent/_translation/_stata_postrun.py,sha256=IvTZKX7y8L5XfPzZtmKNFxkctla_dasBdXKmetk2jyE,23481
statspai/agent/_translation/_stata_programs.py,sha256=FDyiBXbOnmzxLzquv5Yyr6K2z2Uf6h5rUyuhzoJRlQw,6565
statspai/agent/_translation/_stata_rd.py,sha256=nU8N5bFu4Eo-3g1_zN_AjGzDxg_qb1OAJPnG6XD93AQ,13342
statspai/agent/_translation/_stata_resample.py,sha256=nlngkJENp_0S769ZZbJQsY3yYhHNmuGj4_rrai5EOT4,11056
statspai/agent/_translation/_stata_reshape.py,sha256=Z582ug4cjdcea8tb21aOg3xH6K7WhYGgThTmokF1dAs,5748
statspai/agent/_translation/_stata_run.py,sha256=MfbQadU1QIPIHV-u1XKKDVpBOT33r5Euk8izSJhLnR4,78193
statspai/agent/_translation/_stata_script.py,sha256=JyHZWhmSPYaVwCpI3JozJQsShQ8e6ZPwhlNqhyABBqk,11489
statspai/agent/_translation/_stata_sensitivity.py,sha256=lBq2VVFGC7-aVR-a-xY8Nmt4wBUOqxX8JdFSyCqJbwc,2974
statspai/agent/_translation/_stata_session.py,sha256=7tMbLI7SF_lt7pmPHZQXd2k-tUm2uc_6Od911hIVgyY,58173
statspai/agent/_translation/_stata_ts.py,sha256=RGxSe_BzYSPIPu8HV2LHuA-ZHtbW2K3ntrW1kLY9-DY,9856
statspai/agent/_translation/_stata_tsops.py,sha256=s_ukgdk-WhNaS48aZAkTfKNTZYduuK2dqHPw6mBIckY,6652
statspai/agent/tools/__init__.py,sha256=sU0dD6d8E7URqaJzqZAISSoEZJk_TUAcwov14-JRrIU,1724
statspai/agent/tools/_dispatch.py,sha256=1NSPIxd27Y2aD5bDpYidVF2Ihgm10_qG3GhxEzYv15M,21690
statspai/agent/tools/_helpers.py,sha256=kpFtH63459FaA4UzEEPzFuJ-OdEmage_7Se4_j7d4mU,8163
statspai/agent/tools/_specs/__init__.py,sha256=qA72ZH7J7NJpK1xwPA1ICS5doflcwjUhJvzG4AB4m-Q,1003
statspai/agent/tools/_specs/_diag.py,sha256=OkIym0ed2hFvlgiStXnc-8FS_RZpvLY2eONmH9MuQ5Y,6144
statspai/agent/tools/_specs/_did.py,sha256=iwA0rNN4iTv4wJchnhF9rsu7NQyPev-Y6o6xhXQtdZ4,7485
statspai/agent/tools/_specs/_iv.py,sha256=ODuwgGr1YdAUZ-86jQZ5SJb_0Xz7qe3x8N4VGXfwElI,1011
statspai/agent/tools/_specs/_matching.py,sha256=i_1_XaOzZYuAKYzV0lS5jT4iw0yWxpeVwB43m8ZCtaQ,1146
statspai/agent/tools/_specs/_orchestrate.py,sha256=cxgW84Du3nP2U8-65znOiRtX_qsRc5izxKg3LjFpAIw,6808
statspai/agent/tools/_specs/_rd.py,sha256=LrAt9v13RwBWmI2AvnbgVSplKxRGNTGWQYetKh2Bujc,1381
statspai/agent/tools/_specs/_regression.py,sha256=gHB8c8-4RU1QdFLAe3sTG19ZoHPNjRz4JaPc8VL5EbQ,5006
statspai/assimilation/__init__.py,sha256=kUsHj4er9uz2qqCPgTwzQuBvgZiPJqWg0CUZH2qPwJ0,1782
statspai/assimilation/kalman.py,sha256=KyQG9_Lhl5GcTIwd9vsr3zOciFBr70Ysis_e0MBTi70,11989
statspai/assimilation/particle.py,sha256=ZWCnkf4qLLIq34IL17K2Rnz0Xptk5bCrR_0D4AV74LQ,10062
statspai/bartik/__init__.py,sha256=ajGTymt4SA6YHlJpTnTBnxPnFS2ovVBGyEPTN-79CsU,1195
statspai/bartik/_akm.py,sha256=0OjamdNwaqkjpy0l9nzIHn7v7jayXcSoEqEycy6XyyE,13396
statspai/bartik/adao_correction.py,sha256=2fv3YcR6-CPrXEOXnHpVYAQhs8WAotgb8QLMeS6bhyk,19905
statspai/bartik/political.py,sha256=NgSal4VvKek6gBxva8NSUSJVRV80gW9dEcRVuC6pk7U,52216
statspai/bartik/rotemberg_summary.py,sha256=tpckh8m63qsiWGo1DLbXAukddWwTBv4cNztfg0kl4yc,12727
statspai/bartik/shift_share.py,sha256=k0pYtkecgHi53DMH-y8sfWuSwuwFi6Ko_zwYqruXKXE,21769
statspai/bayes/__init__.py,sha256=mFlPXSK_6cP2zsQuRarmOkfGioMp29ZroTVAGIEvwSQ,1748
statspai/bayes/_base.py,sha256=BbfUIdwpDS2l0oWBzRkwRVTlxfvF2E_4vfqb0snKYkE,57717
statspai/bayes/did.py,sha256=anYhbAfPHpbQzYqJH4dUVcWathGB2Ty-pV05PKo-uHc,26475
statspai/bayes/dml.py,sha256=ornlxeKvs1aeKvq9I2QwQt2w7_4yqB1ocYu2hIFIjuQ,10701
statspai/bayes/fuzzy_rd.py,sha256=4eQw62Rb3uNGgGRT-nTpG_YUyb8scrsx-PUqncE8j-k,11524
statspai/bayes/hte_iv.py,sha256=BKUcmfFQgQqFAlOeqV8LWHfINtP8klXZOCCbGkZIatE,10977
statspai/bayes/its.py,sha256=bUs2NQJpHAzlzRZoVZn8X3l6gI9hKEgVvtL54N0gjyE,7508
statspai/bayes/iv.py,sha256=KTY6JeUy2-Ee2UHQ0GZtqxl_d5v3lHvpRThvVFh-Lj4,12370
statspai/bayes/mte.py,sha256=LGIGbOwyVSYRn2dPbhcnjhQtc5UaFqJ7vo4Slgsg0No,35981
statspai/bayes/policy_weights.py,sha256=B8bbvXUNh5JMO0MzyHn5LHbPKvwqM49N5-7Qesu0CTk,11807
statspai/bayes/rd.py,sha256=rdlDReCwzvQNn-hx_IfsMYL9ZCvY-hBxRxYzfDyLPLc,7346
statspai/bayes/synth.py,sha256=cHdYV3ZcdSHwZ7Mqn4Xq5cF6-AOjsk2Mvns4Q1mJ02A,9684
statspai/bcf/__init__.py,sha256=5th2ul3fPKKwbUsA3Ndib6EA6UZWB_pjX9dvIJkuNMU,1045
statspai/bcf/bcf.py,sha256=OwQ7aE_AfubFg_orCtCAQlNrCfhpYPA2UMRqVHs4QIU,15610
statspai/bcf/factor_exposure.py,sha256=QORq-QzezF05LUUZvUFga60AVxdqRUNikr-qGhHOfb8,12044
statspai/bcf/longitudinal.py,sha256=keyfttChVthXLvgo21swaFFSNQzBguRe_XzTm2jG04Y,19041
statspai/bcf/ordinal.py,sha256=X_loy49CPrHMqObSLfzdqDmsx8OvKxUtDuAgQLlBFok,14909
statspai/bounds/__init__.py,sha256=u8dOK5PwqFiaZDUz00xu3KZgg4a4ZyyKN_ImVB2ew4U,2197
statspai/bounds/_lee_tight.py,sha256=3Nd8Z4cslBqYlMxFSaED_mIGllIf4xvVZJ4kGEr_3vQ,8663
statspai/bounds/balke_pearl.py,sha256=Wqgb4ugVZGMpZ7WwwV72YXtr0wG3XlUo-2RVkO1Sc08,8303
statspai/bounds/lee_manski.py,sha256=deGxrCw2sNeBGMMA9Nvo0IgxIwBT6PLiSKpadtjlEPo,34955
statspai/bounds/ml_bounds.py,sha256=Dje9Bky1QT51i0whaIcNO8TjEaA5mazrFzlKCK8CegQ,15425
statspai/bounds/partial_id.py,sha256=R4gE81XMFX8lkvs4wEz3hquCnwQzyLV8zhsPAmqb0Z0,44705
statspai/bridge/__init__.py,sha256=1tHzf9WoTwTbYn5ta2rzP_P7KkFwdPOTtE2zU7t0eng,1265
statspai/bridge/cb_ipw.py,sha256=jD8J5C_qVlwAyGsRsPbIJmJnU3xpq_yzKB2lOFdToWY,6455
statspai/bridge/core.py,sha256=2Z_6TAjaoeqES7EUBw_2kYWT38iwVbD3KV7bEY8arNs,8247
statspai/bridge/did_sc.py,sha256=KBHbX_HFuVnvdYxdk1MFeaNdbLjXu47kAvSiwQhrW6o,7680
statspai/bridge/dr_calib.py,sha256=j0tZCLopVTSfKFODHVwWNaLscbJMUhQAJMbm0iDjaD4,5161
statspai/bridge/ewm_cate.py,sha256=r9r837Oeta7HSkd7jcrAKIBmI5Eb2aU9b4hXHWBt01g,6008
statspai/bridge/kink_rdd.py,sha256=kgsa_gRljlK_XKsANkHnm1K5ffqTNESe_jpBLBtpTd4,5525
statspai/bridge/surrogate_pci.py,sha256=OTURSv6KabtlztJtkt6lhdqYs2HgADXngUeRRiV_ejk,6384
statspai/bunching/__init__.py,sha256=qrxD3Brvsf_oJMKpVm4-56H7HGj40_o08HROGuylDS0,1050
statspai/bunching/bunching.py,sha256=jU1iMkEIsts_yxHyxmXxitJ69zGTyRZqquv6jK9iZHA,11859
statspai/bunching/general.py,sha256=0poi-RXfPGaVmeEl0IFRf6aD0fFXkj6h6eGZywuzq7c,6325
statspai/bunching/kink_unified.py,sha256=DKCfCAoMYqo-HoaJsalYa46je46cX6kGooGZT8zAaNE,6287
statspai/bunching/notch.py,sha256=ctFOgJmwWK5fnNXoR6vdGWFQ5_ewD5xhwBMu9BedlB4,22093
statspai/causal/__init__.py,sha256=8G4NP2l6Q-CVRyfXha7E8C3fIne1UX22ra8DYHpvLg8,4325
statspai/causal_discovery/__init__.py,sha256=_dQlNChdG2pFgmIBgwO6hve8kXnlMFUfgptc9U1mZVE,5645
statspai/causal_discovery/_fci_core.py,sha256=uIarK78-RazT6cHtbCXKXC27m-BpuqhCQcivgya__ho,14581
statspai/causal_discovery/_viz.py,sha256=vUYHbWZNKO47L7C3o27n3F5eAwzm66Ft-ljKSG86c-U,10852
statspai/causal_discovery/dynotears.py,sha256=A1ormtJVBV8rISoJpE7ckZXXUNWQLqvkCzzuZ5SPvmo,12302
statspai/causal_discovery/fci.py,sha256=l4mhIYYIBo17llETaH8juRwT1hfUIPS-2Uz7Owams2o,11592
statspai/causal_discovery/ges.py,sha256=9E1v_NRAabxOjzvLCB6qQ6EdIZzEzw7RXEjYLVwn6ww,10643
statspai/causal_discovery/hill_climb.py,sha256=h2zf3_jV08DhazurvHlna89pGLuFx8yryjBTW-pt9Ig,26786
statspai/causal_discovery/icp.py,sha256=_VllJXDJgQv9SiwTwv2BogQ34L0MZvGxG3x9tA9zYIk,10394
statspai/causal_discovery/lingam.py,sha256=HkZ9HvpFhgXXv4VsAAHyKtqvZpRBl6cObsn4725h0GI,11094
statspai/causal_discovery/lpcmci.py,sha256=4TLp1v0Dyyp9gtci-e1P7egAkVHba288yrqBNYrOFSw,11544
statspai/causal_discovery/mmhc.py,sha256=IP5afI66RIRrOBJ54NTRcXDnVFve_mF763HZlwECSaQ,17036
statspai/causal_discovery/notears.py,sha256=fGT6QtMmhsiUy4mhwDxNSBKBPBzH0GiRyH5eRjN584k,15106
statspai/causal_discovery/pc.py,sha256=8JQX6jkYR3t7_-1jngpHeIcfB9pkVEsqsuEvBECGK0w,34262
statspai/causal_discovery/pcmci.py,sha256=gsz-FVrfSliT27EZfiUWA4pyAxAkuAEOdHGBOc3mrM8,17048
statspai/causal_impact/__init__.py,sha256=qVaEDjAbY94HONsdBsvOR2qlZsmK1cUSeqBSHtHLiX8,878
statspai/causal_impact/impact.py,sha256=Odj1u02lTd_6J93_zmehC1DNF1LEl5vKtJKH6iunJ4U,23857
statspai/causal_llm/__init__.py,sha256=2AsxfoNImdsoq0A15xZo2e60GGdWBkEsCaIFBiQjLzk,2428
statspai/causal_llm/_config.py,sha256=_ci9cC9edrIk8UFJK0qLmWcj0Iy9iiQWlPXkWl1nVr0,6165
statspai/causal_llm/_resolver.py,sha256=xTWJlsp4ZEcewsEutMSPZIcsupIlGh7fZPslCp5DDzA,12876
statspai/causal_llm/causal_mas.py,sha256=efhaEkGhiRkpCEHc8pQrOpHTtZ-8WTrLfB0OqGne-Ho,14553
statspai/causal_llm/llm_clients.py,sha256=phhDzScN0MduxDW08yNx27KciLiim62H4X4WJxT6qzM,15313
statspai/causal_llm/llm_dag.py,sha256=F8XVYDngboxS0B05U7MgpmnR57pX97gIP4D1FEIjewI,8117
statspai/causal_llm/llm_dag_loop.py,sha256=LpVt-8rnOg9Yrl0pVbHBe5ecZz68_u8CuFvWMD-dpTE,28218
statspai/causal_llm/llm_evalue.py,sha256=nkk9s6TkRVc1qLJUnK5bdT6NYhq_zUJg3WZFTYcin9M,5787
statspai/causal_llm/llm_sensitivity.py,sha256=piy6zxBe3IgsFnEthXBwJgrXiIji-oF6mICrMvQtXHA,5156
statspai/causal_llm/sampling_client.py,sha256=1AEL7A8jKwDGiG81E5j75GkuUX4TTmlIwrt-FYjcPgQ,5393
statspai/causal_rl/__init__.py,sha256=GDjlXvx2YKg5oQ_WAYXCA0HxzPxKFMvS79SSXLWH79c,1146
statspai/causal_rl/benchmarks.py,sha256=Mq_stHtOSy6mzvlSKcRK6Gibpbs0utt6ogakjb1EvxU,7021
statspai/causal_rl/causal_dqn.py,sha256=GsfkQ7oZq_OmVeQUjlTgDhbEovsAtH1rEVD1lMfmBic,5902
statspai/causal_rl/core.py,sha256=qFXRTFuJUiFQliy3IPDGU72Zhq-T3AC-6kA4YtO-wEA,15968
statspai/causal_rl/offline_safe.py,sha256=Czz3CRRH3qjHfgRAWNgG16cJjIX_zWzyQFcpjam7Z9A,5197
statspai/causal_text/__init__.py,sha256=sMt02EqV6pWNXBHQo3s2lWxh04W5TpeLyhQR_f1mB6o,1636
statspai/causal_text/_common.py,sha256=CRLGaHCSkl-_exYxDF5hstvdeiG5J6q7guyHuh-p1tA,4243
statspai/causal_text/llm_annotator.py,sha256=8-iE4BD5xUWHvfokpaTF5IPzO-GfHP8aQTtmu0FsZeM,46854
statspai/causal_text/text_treatment.py,sha256=tOk3JFN1gY67RCWdqvlnB8-S_0iDejQ2UD_lD3Ct44w,11655
statspai/censoring/__init__.py,sha256=PI_NXe2V3kvBx6K_jC8lVW-ls3WKDfG_YHd6nAo4-jI,145
statspai/censoring/ipcw.py,sha256=J_5V00zG0wgFqx6uGQWXMZ0ar77gvxfdFUjKgwJCqG4,13580
statspai/checks/__init__.py,sha256=nkR6EYsftHf10-dYhLp_maPPjSuMlQFx2ZBh_8FWqGY,376
statspai/checks/base.py,sha256=Fj6VXc5dpL24qIEWwAD4um2M5EpXgOf0xGq9-QJrFQg,4450
statspai/compat/__init__.py,sha256=PKjLC4DH_jFzRaOtV6BHsfh4G57u4-zWMRqdh330pcs,735
statspai/compat/sklearn.py,sha256=hN5Hl0KLp0_gGUZWj9B_M7VXaG-rJgl9qUErm009fSs,10941
statspai/conformal_causal/__init__.py,sha256=x74i_eFS8Pt-rxD9FBtlJChtWJaZCq2vVRnjuUj_d_s,2250
statspai/conformal_causal/conformal_debiased.py,sha256=_tQb3txA_qRBcylOIsH3RLzE5kT8w7u3UKZedvFjXqE,6772
statspai/conformal_causal/conformal_density.py,sha256=LolWrCzaMIa3lVdPBx1v4THF13gUsDWWlF9PAnsJKr0,9572
statspai/conformal_causal/conformal_fair.py,sha256=eVU7uVZ7g6Ij3GZQ2ZSNdG0jF76fxXhbQuT_Wamuggo,8632
statspai/conformal_causal/conformal_ite.py,sha256=jOfHOF0_c4D924AtFOZPcZv_fZLyHMy82K167GJMJsw,11854
statspai/conformal_causal/conformal_multidp.py,sha256=L_wZnOKrGx85B0VF3egvl-pLKOIL_KiT5sQXTkn4_38,7923
statspai/conformal_causal/counterfactual.py,sha256=JqqjgGucVG6fSxj6pW4YAR15_uNuuEN_titu4XkVSQY,20203
statspai/conformal_causal/dispatcher.py,sha256=XTrjCvzaRXhZ2mPDN8kU6nqLl9anUF2fB5IB3X80B3I,7214
statspai/conformal_causal/extended.py,sha256=DRsxMA3AzYeBpl9MNb3pPr7tjOxKu9lqGZG_53dd3_Q,14812
statspai/conformal_causal/regression.py,sha256=1dsk3AFvJqPCdbaTZ5Pu-W1CsoGAkAP5JbRkBLj4Jng,12952
statspai/core/__init__.py,sha256=8Jk_tDMKgW7UdAXuYcXgzTP4DUgapURM6TmNJ9KOywg,199
statspai/core/_agent_summary.py,sha256=rOaytrFYY-AjAEs9bM_zR9kE1O8ZOSWn2TeN3V6TxEw,63969
statspai/core/_bootstrap.py,sha256=9bqDaRciTaL-ibJJErrgSccHm-za_t7hj7ZoLncIvqA,3469
statspai/core/_collinear.py,sha256=lWsNhYQbW3TogOmM0vDKFf7Sc2LZaRu2vf-tW30O0lo,5946
statspai/core/_covariates.py,sha256=_ST-2T455TJz3HqtCoXgQIVli5R9L18HO4YUOCNf7OY,8919
statspai/core/_decision.py,sha256=fmrf-PP9RviIC9d91GfSEO1KsD17yhMutSG3XYy2Hcc,18722
statspai/core/_fallback.py,sha256=Ct_ziW9FefYk2yNoEeZvRULlR7sSN1RKYbYW_JAMGkc,3414
statspai/core/_glm_fit.py,sha256=bJdLAI1Dh_i0UUE_lPzXKKTaHij11F_AP71sx-BuxD0,2070
statspai/core/_group_terms.py,sha256=MBivCq48fu5MRWeQWlPV5wdkjPVTDWSOkoQOWSw3BuA,2351
statspai/core/_numba_kernels.py,sha256=1QTNZVD1pJCgkVA53696TD4cXMoZYL30ePKUSE4rxtg,10032
statspai/core/_param_aliases.py,sha256=xChMlFqdlED5Hx6XPFooF4ZI_n6bSA_QECsTFEDmpCA,1771
statspai/core/_refit_bootstrap.py,sha256=bYQEvZB0ZidShZDeCSAxNDnu7UCzawNgBTY5fHNOEqU,4394
statspai/core/_sklearn_tags.py,sha256=O2sftv62-ZgViWQPR1Vh0OEQTzlr7VOku0XT5y4L0OY,1208
statspai/core/_validate.py,sha256=k2_t_T3IiC0ez4IFmT8idKrCOfbC90Ye4oM7vuQqIzg,10083
statspai/core/_vcov.py,sha256=yZdDXrZ6NJ2jJpjbbY3Yk0aDBjkSDD4hGfMssNS6tdI,11723
statspai/core/_vcov_spec.py,sha256=d2TWHhisjbs8MRgAoibI62_OXoHtXPWWanbFWwAXUYQ,19905
statspai/core/base.py,sha256=HUE-eny9FwE1VuntbyX10rcFKMxSK-aEL1kEyEzQTl4,2086
statspai/core/effect_summary.py,sha256=YPSdik7z8da_jlaSn9oJvdbjtbFov6mWNIpnW7tWDDc,8866
statspai/core/next_steps.py,sha256=QfhTr8EuMzS24tk0cxPUR_C141YRb0WgZh7WDeOiLQo,28774
statspai/core/results.py,sha256=ExPNA7qlo2C0cvtLrWatJuKYlPe-eAqmIhf1LPxjT-M,239881
statspai/core/ssc_presets.py,sha256=j21cu-akpmSVRxI14fo0ADMFNzFrOhxeu7VjF0_WMyM,3115
statspai/core/utils.py,sha256=sGOLlzqdRETSjIC21lxHRuvplmZCvv8MG7xa4dHDtFg,27681
statspai/crossval/__init__.py,sha256=6J6lzns6ohZ9nHzyZwarINY0YU8A7dzeZEh_B-lKrpc,1047
statspai/crossval/_agreement.py,sha256=lCCY_ZUnwqnJ0KIismTnmPR6W3-tICfLDtPUS5Ms2x8,20646
statspai/crossval/_engines.py,sha256=1iBkZuru4psvHbuqLWGMvflkwiS9S1UX2WD0DUtbPzs,20416
statspai/crossval/_external.py,sha256=pUsuZ9R9kSKGz8o8Vyq65QXPSjOfat0alsUrQvU50oE,16778
statspai/crossval/_result.py,sha256=-NUdWptF48WnRrbhF6UZiN6nEL-3jWXLpTqysBWpKSs,13971
statspai/crossval/_spec.py,sha256=S5Dv7cpyHfdFwCkBayA47JN5NnLHw4_MjiVpC8qfMeQ,17231
statspai/crossval/cross_validate.py,sha256=mH7R1x37yXLqGIFXOxUmF04HiuWuwdSwuUChDS-ET4k,10444
statspai/dag/__init__.py,sha256=QykjVROfT9wSlm0-iTzRuZLE2oxl2UoB6fR2mHXGn6o,2539
statspai/dag/_ci_tests.py,sha256=m2T0yHD08S9HELAC2IYmMjS2dtNCVc11TVmekebd-5g,2755
statspai/dag/bayes_net.py,sha256=tfhtxh116ToZSqapN8TDihGnN0vaNZB0H-UJnxbkiQY,40593
statspai/dag/counterfactual.py,sha256=6GwTGlxv46Uph0pcZrOHdQo_SrTZkgfT6l4P_YimoDo,5448
statspai/dag/counterfactual_id.py,sha256=vdBoIY3oGpenTVRyDsxM3OfgYnJT3Z4k7Qqd3NHzx8Y,39139
statspai/dag/do_calculus.py,sha256=L0v8zajAn8V-ey7MXpYzRjqXf4vJptmJc4QXf49vY9o,9675
statspai/dag/graph.py,sha256=-6Yu26CxjbcLr3G9wffPbHSbjFcp6KuboPUVsLoZb-k,83163
statspai/dag/identification.py,sha256=cjnEXv4vcjTOFdI2CPZQLmJ30_QLFwwIKFNt-8k6y10,32845
statspai/dag/llm_dag.py,sha256=XxXyygUqaRH75etS7oSyQXlcLv5bvNGFqzG-vn8UQYg,8629
statspai/dag/llm_evaluator.py,sha256=VWAHnnS0_JWvMHBNPfHRTgkO1R_uWJ6phcAgz3mYfuM,10743
statspai/dag/recommend.py,sha256=EuZ-oO8EHHXCnC3ITOADzu5lWQlohtAsENp0Lt25nqk,13287
statspai/dag/swig.py,sha256=sTTXoKE278JnnXy7Dojx19RyzWnJUytT0rw9ifuFXTI,4607
statspai/datasets/__init__.py,sha256=ZCfMsY6PFPX48fU4BZF2BBSmaPn5k7lE7b9aLS2_cUo,14115
statspai/datasets/_canonical.py,sha256=G1effz5ixKumNklaUy7GqeymSj22W8H4ouRi6iM6HUQ,61322
statspai/datasets/_currency_union.py,sha256=GfUelelQJ9vVYLXk267D-NEgsHXJMZbMBY14i4HLF2Q,6910
statspai/datasets/ingest.py,sha256=FHPcYCWiqRadVT4fNUIByEnExGn3Af79BgNiAKb6MZ4,15000
statspai/datasets/data/california_prop99.csv,sha256=lGVOqUG0s6Vt7ocWG-Ipu-ECPBqeUHbOMSew-0s94h8,102537
statspai/datasets/data/card_1995.csv,sha256=YPZYqunoJd1WGHYPQq54KgPZeV3kXvvsUFh1bAGvi5k,106889
statspai/datasets/data/castle_2013.csv,sha256=3gWT7F3roZILsrXLHu1tDMZegKL66QLbLSkwM7O6xnc,119574
statspai/datasets/data/lalonde_matchit.csv,sha256=9X9ek2-dyeast42m71tnBgNoA4kvipI16leALTj6HMk,26710
statspai/datasets/data/lee_2008_senate.csv,sha256=rTSZrL97xQwRkN08CO0Fwk9ku3GWOLFJW6wZJiylgPE,45164
statspai/datasets/data/nhefs.csv,sha256=9e55gCDdDsmj3pAEfsUJz5mS4jHpL7venJ0_iqt0kcE,573505
statspai/datasets/data/nsw_psid_dw.csv,sha256=jqlziYuBMwcvEHk8mizfZyNsbOYodNmr14VMo6FBmPc,148351
statspai/datasets/data/sasp_panel.csv,sha256=feyAKQnYsxrb7u1uENEF0CuKHBiWZUjcIDpuRCUbazw,260827
statspai/datasets/data/texas_prison.csv,sha256=zSbWgokklRZi6jYHy8J9b2e9-LnEQjTojzJgLT8SQCM,137403
statspai/datasets/data/thornton_hiv.csv,sha256=5ms1nvuZQVqIGewZjYlRH8DRvv9ijTrSESDU47JJAUA,357495
statspai/decomposition/__init__.py,sha256=2gv36Hv7mXvwVh--VJt-ADM17sRRHu9nYjjGwjp6hdg,5545
statspai/decomposition/_common.py,sha256=lvqzNDL2ynv2xSO5wLVWcL6eBuu_2RATcti90Yb180s,37027
statspai/decomposition/_results.py,sha256=VAHkG9RPrP0v88oRn3n-gSM4uD3GWdM-X_Sv4J97jrg,27918
statspai/decomposition/causal.py,sha256=_1YTJ_bF0jIf6rxVbjySYbalJK_3yNcUmbZOrhQE5wU,31881
statspai/decomposition/cfm.py,sha256=8PbUEcK9q4oZDTv4Dc1E_X7xjhtpNR6BU7Z24PUncsY,14063
statspai/decomposition/datasets.py,sha256=rHD62ti2cd77jAl2jBDr2WZtgDeNDaIYh7ItPM5pJ24,7117
statspai/decomposition/dfl.py,sha256=l9QEdrN__nRMXqT-v2_oMEIAk8oLhAvNE6q25HvQZWs,15575
statspai/decomposition/dispatcher.py,sha256=Hd1g-WtZ2sDF-jtDuvT2DRPzlNGQD0mKYmko1kvH33o,6287
statspai/decomposition/diversity.py,sha256=AKvwJG8lR04hE4UVTs3JZuuj8jSpUv4SW-OsEVHY1mI,11581
statspai/decomposition/ffl.py,sha256=tJd66lwx8AdFTEBaw4R09og8Y6rkXDvn5HS-_O4j7Es,17985
statspai/decomposition/inequality.py,sha256=yHYjLPQW0e8hvgI2U8bR1W7o6hcHLuVyRicVcNdli6I,28499
statspai/decomposition/kitagawa.py,sha256=2jxebW6olfSYMkf9JXDIGUFF3xfppzJfAMaRa_LCW8Y,17161
statspai/decomposition/machado_mata.py,sha256=Ew5R6rgy-CvWjJeoxs1TGqushPikHBdmmqVOMAv6jrI,15338
statspai/decomposition/melly.py,sha256=0LrgCOK5-M8HqpkgESs0GtbPFajkqGtkSKYIey5dtR0,7663
statspai/decomposition/nonlinear.py,sha256=b-bzY3IKnJ0pbWOvAscUhRjt-YP7vQhW2MkgvmvMVkU,21869
statspai/decomposition/oaxaca.py,sha256=Bf3mkcnYgyREVh7mx8zp1Ib88k9S2rgwLZCr1A5_tQ0,43372
statspai/decomposition/plots.py,sha256=gWpvBM6kLR1G7c6teb3sKpnPYiBZTBnF7-KJvHNYzKU,22359
statspai/decomposition/rif.py,sha256=kxCm5dAMidORzc0ZnBF9Nx-uFl6DKSKcgwQt9bYyX5I,11462
statspai/decomposition/yu_elwert.py,sha256=g7EFvNDDExrggeUfs0WaHx8zWbiu0fUj8CyFsY4yA4U,27389
statspai/deepiv/__init__.py,sha256=oZVjMZWWkDRlwZ0LTqZcE8jUPEJVfX5ln4GNTvNirzk,629
statspai/deepiv/deep_iv.py,sha256=W2Gu0E6fLDAxCnIH6Cxsf-FviwabO1VIDPwpnB52hgU,32071
statspai/diagnostics/__init__.py,sha256=SjAxKYbBrFX-vU8v5Ec9IqJkIxwqheEXeFby_fTY9Fs,2400
statspai/diagnostics/_estat_did.py,sha256=MwpDMwbXmh2yDxqms35T70bWLtKH9vdcpmMBPJwftLo,3684
statspai/diagnostics/_estat_dynpanel.py,sha256=1AqYjgjCf8YMe7xzjLqy27KU81tRS8R86XO7sNh3b5k,7056
statspai/diagnostics/_estat_regression.py,sha256=UeMu2JtT6pWTzSMqcVdJh-9mdwkdQHxoMZbY9vyvivo,30262
statspai/diagnostics/_oster.py,sha256=agDjeb97ke1bTzNnlfXScvPq48ARTGxU9Naa6Z0F1FE,14013
statspai/diagnostics/_sens_engine.py,sha256=5s0hwmErzE4b5080XTOWjWuT4EyRC6o_CoIjT7H-NYM,10344
statspai/diagnostics/_stock_yogo.py,sha256=CZtlfmFJjeI_V0HkbZcE1CcorNp0-cLUCgH_8SU8hbU,10569
statspai/diagnostics/battery.py,sha256=ZzRmA10rutvibIruUrS0lV7e7b1pISZW5tIpQgLGTqM,45832
statspai/diagnostics/binned.py,sha256=kQI3JM6GufxdW8gPj5ZtVLofhmZAJX7zGD-g9BQVdg8,8656
statspai/diagnostics/causal_gap.py,sha256=PhfgFQIiZU_vGA5H9uWTjqKqA9Lv44Sq-Ax-KzoIUYg,9335
statspai/diagnostics/cmtest.py,sha256=v26m2n_lmq_kXd6KT6afaUnKstuJR041C9RfUSU5WkU,10208
statspai/diagnostics/confounder_bias.py,sha256=68GpVb-y8xhvKTlv-U2DC7xSEnO5Bf_PEAelr8GFZfc,16000
statspai/diagnostics/estat.py,sha256=aAIBtuGL-Rn60cUeEqvEpsLXDGFCEQ5AHv3g4hTiY6Y,50475
statspai/diagnostics/evalue.py,sha256=fUYEzWiIhkhdyKbwx6ASTW8jsVsIMdCKa9gRRmaCBOo,25789
statspai/diagnostics/hausman.py,sha256=n2z-xVGNbV7RMGqAHoTDGP5Zjr__p4X0lDMDVDHmkm8,16516
statspai/diagnostics/influence.py,sha256=yY9pYkZyeni4tDn5M6qE6BzibvapYB5jhttmBN2TWU4,16853
statspai/diagnostics/late_test.py,sha256=fTQ0zO4oTjFa5GMbWfLX05k40XoVvYcLsVOICf087m4,12682
statspai/diagnostics/rddensity.py,sha256=TQ63vynXtg_fz-Nkc_38H-8UD45xX64aaGZ8xb6Ei18,33745
statspai/diagnostics/rosenbaum.py,sha256=0lBv1zhDLO0qXh8-2abCHLeAWI2e84J6DX5wcQ97Exs,17832
statspai/diagnostics/rosenbaum_strata.py,sha256=5XjlBVPxb9NTZYJD7BJpCjYF40YOs_jc5x8pw2DT-mM,27480
statspai/diagnostics/sensemakr.py,sha256=DY3zkccmYmY925exIvBUHXMaoOor5kFlytsiFqIndFM,14362
statspai/diagnostics/sensitivity.py,sha256=nSLU4f29F3TOuk2IqhxlDS51-9yhSJImfG0eToc9Vms,21924
statspai/diagnostics/tests.py,sha256=HK76hQxXO_hmyU0G98z5h_tPOs1Lq_Pg665tm4y_ZEo,11291
statspai/diagnostics/vuong.py,sha256=Rk4WCIt7ZwtC2mEPD-3cqKSIP_32WAxKF3dvLY1PWJ8,6205
statspai/diagnostics/weak_iv.py,sha256=Ogi77D7dy23jwH8TrS_69Lr7-1H8JWu1zWx4wrz0oTc,60327
statspai/diagnostics/weighted_rank.py,sha256=YE-OWBU13jbwtzO1tY1Wglv4Tdmz9jLcXs0DkxWSK5A,41333
statspai/did/__init__.py,sha256=QipSR0sRO68r-ZbQpVsuAWqfe-NN3I7Hqxxz4wK65F4,43693
statspai/did/_absorbing.py,sha256=6ftu4lPpI2RYsmyePc8cil9U_K2fAUChB7qGmvFuaUQ,6838
statspai/did/_arp.py,sha256=63c_uYeRfcebZ7YFcVE6xvUfRiW0woVM3LK5Bjt3P_Q,22544
statspai/did/_bjs_pretrends.py,sha256=fdpSn0Ug967PkTG9orN19mXAQ7AZPq9LHLTFa4rIsPk,20732
statspai/did/_bjs_variance.py,sha256=wCMB7fNkcYx-E-Z4ZjQ9DCDIhaQ97dnpWyqjCLzJOIQ,9246
statspai/did/_contdid.py,sha256=R30WH7wJOzxyKG0d6Nr0Obxhe0m5w9vSRAy2CcB3tq8,9365
statspai/did/_core.py,sha256=KKMBsmgQZQxva7GC87asE2o83pgFSfTlv4uVG40-9bc,48764
statspai/did/_ddd_dr.py,sha256=MzQEWv_pEM_8XJ_OhDX0VCnvkaHgyxpjmf7pfOhqb6s,12466
statspai/did/_did2s_general.py,sha256=JlXCm0CYIcaWrnOzh2hgsuDa3puFozMzL5SqZ64Cgac,11289
statspai/did/_equivalence.py,sha256=5KEXG3zg3pTL5oaXI8odsk_6wPNGNowjYq1aUcfs5wY,12676
statspai/did/_etwfe_glm_design.py,sha256=fDBs3wHaoNl8v-UeiXZGojjcGSg0gb7phImy82oYUsc,16889
statspai/did/_etwfe_glm_emfx.py,sha256=AlQEhiaYQf-ARq85_K3yy05f6iinqjot6BI_aD8Udbk,9355
statspai/did/_etwfe_glm_fit.py,sha256=E3qikGnKSPLHel3sm-zwCiLTrVmZpCD_5_3jfJtR9BE,7227
statspai/did/_etwfe_nonlinear.py,sha256=nR-H0N2STQ6JbkUAQJjQn2-Xz7kdTUsPBDEhHHKAKAE,41843
statspai/did/_factor_terms.py,sha256=9uz3EdiP_z0msGL99AbW97P6aC6tiXWCb9vTKtQllM0,8996
statspai/did/_flci.py,sha256=0b29mIErkdJdhnQzWMbW1OkT5S2iYHnwLsiAUD5__Ak,21207
statspai/did/_rcs.py,sha256=qnWLbaLiBWgOopILDmQG9vnT-HeS7z8jd_74JskjlUk,25116
statspai/did/_sa_within.py,sha256=IP1a_BOZqUzy0WldWvN5-hfOCiX-ZOAbzlzFKHDAPQs,6323
statspai/did/_staggered_rollout.py,sha256=XGUkt8dCkrENnq7NSoOPKzJeH-hyQs2i-NRMM9eYDvo,46518
statspai/did/_twfe_weights.py,sha256=0n8OrQMHEMJWbOw4BXrdARsSRbVloMyT3T5gc6Pxgbs,7021
statspai/did/aggte.py,sha256=AmUt2BB_nvpdOE58H7o-tE3EbZkdp2kSTGG5PbIarEY,39995
statspai/did/analysis.py,sha256=jxu-z0LHBZPzfi7v6dOmwaDwsFOzMrK5Gm9Pii2U2gI,21980
statspai/did/bacon.py,sha256=QOzUcce4nfp8IVgR1OPQXerJ63EF-fYKM5Suzpysx_U,16530
statspai/did/balance.py,sha256=9wCNgBU9ooF4E-RwBe0p_7edFnDSWfUYxHiPtH4Ci8A,24809
statspai/did/bjs_inference.py,sha256=GLeeukwWOi5dfiuKoCr_C-gfUaiAAz7xX92DYMjKAUI,7730
statspai/did/calibrated_simulation.py,sha256=ACXeDpGuC4en_KyBS4dZ0saWbBgD9e_UoEvW2CzfbeA,47856
statspai/did/callaway_santanna.py,sha256=j1syyDHEhHGynq78W3lZAUeyVekY04yzbR4lajmGx3o,144693
statspai/did/cdlz_bunching.py,sha256=Zs-u1ofWLffvTFzrVLdE7qrre2sdq87_NJI3z0ONDuM,10951
statspai/did/cgs_continuous.py,sha256=dCvG-EFUVXW_JkzKNAZHULISH-akcxn8ZOIeXeT15lY,16756
statspai/did/cic.py,sha256=LdtgjV4QscB1CLwZiDqhQw4DnUGuKpVE3f8c7ptU7Nc,32845
statspai/did/cohort_anchored.py,sha256=p9evClZOgksy5To4GAIk00nFUPVe3cYYl6j9U4wzx0E,13172
statspai/did/continuous_did.py,sha256=jtu0pmPC6lJJ2a1qwlTFDFGdpvRXeHwPn_II-ualzjo,31763
statspai/did/cs_jackknife.py,sha256=lvXBCXT2MobvC-TSShQRxNcoRHvc3ZtusCPllpbhYf0,12265
statspai/did/ddd.py,sha256=v8K_aBtmt6TP9yIH5Iq9qfcAIiGbdlXM6MGj2AkRq0A,18039
statspai/did/ddd_heterogeneous.py,sha256=dfNSJPfd9fXYJjQDiBfasmYmuS9rIKn3U6PvDHh7Aoc,34175
statspai/did/design_audit.py,sha256=IgOEbRiQ68RTi0dNanmsY0UOL0XyI_5tHPfk_KHB--U,20177
statspai/did/design_robust.py,sha256=7norZTkUFGzPQ2Z9i0s05L7aUqrllKGiJdMk8IruiT0,9989
statspai/did/did_2x2.py,sha256=VhKDsHoXjb8Brw0NZkf8J3WJyXEaMwQ71CCX4A_yqww,18481
statspai/did/did_bcf.py,sha256=JViCUP7E80d5GIkvL8DWeLCERHERTgxTydmB9FA5zBA,11688
statspai/did/did_forest.py,sha256=eHEfS9QVKSWQdO71kKiklV2ltXhmueGWm4TROT_lPRQ,32057
statspai/did/did_had.py,sha256=AE7a3zrKqKHY4WfLGvylprRxEwyBB3OIcQZb_YoD5bo,26072
statspai/did/did_imputation.py,sha256=kXOybTHIw4PYA9xPYHyCKrsB26pZQen6nmsDmHFLl8s,68277
statspai/did/did_multiplegt.py,sha256=15IU8IfUw7YPjMNQ0VjYlc34p_f5XUMm2FOPiRb5m5o,34827
statspai/did/did_multiplegt_dyn.py,sha256=jdBJfSsjHDx2DQaa7rYiAyaFNZraf0m7FxXut6Uy9Mg,98921
statspai/did/didregress.py,sha256=8cFtBjlNUOv-kXdLpjETvs-4JWAdXKRsQhyOi8vvH6k,13574
statspai/did/es_convention.py,sha256=yKgIMEZfqukQPD-LIEmdcT_r26C9eRxT9ZtrQtNGxDo,24685
statspai/did/es_inference.py,sha256=gzHNntd7Rqj3Rwmu4-R7FyZFZq_t57dv1zdHPUbcyYU,22251
statspai/did/event_study.py,sha256=4UUUmtVDJapsWHoeivSEYRdHsbhtkC3Lfpf-xEyheRw,41361
statspai/did/few_treated.py,sha256=K9zwv1d7ldH3jGKqKlsAZKzdmM7g8yPzzAoE18_sXnQ,22967
statspai/did/functional_form.py,sha256=5-mKKJX54LbclOMi-buVVz13KPukh6DLZdk67yPof_Q,38590
statspai/did/gardner_2s.py,sha256=Ys1KgnaQzJd6RIklNfK03VdS7tJTvIcc5dsJJbtx8d4,36834
statspai/did/harvest.py,sha256=GBSh_ZX2FM82JRvg28BwzX2OeesVQNruBqkXa_htxHs,20848
statspai/did/honest_did.py,sha256=X1jcZnP0rV65wX8KDof7Fn98eKRcHX8pTojDOml0ixc,60723
statspai/did/influence.py,sha256=7emuP3VfbmvnaxmqV-jbT1YaYNQkoCD2EczLYkYwRX0,12350
statspai/did/jwdid.py,sha256=BDmIWfZiXARI0MMJJ_FDYsX-K3UZD_svK-baok4oRhk,7233
statspai/did/lp_did.py,sha256=ZvzuuoM9dDTXqB-FXoS02M3fv3IFaM2wMeXi4iCjpAM,23056
statspai/did/misclassified.py,sha256=f-HOIip5jESXOCaiG9aGnMQpiuc0I4EHxrvV9krQjx8,12664
statspai/did/overlap_did.py,sha256=bi48kVXOGEF1GqWwUTmwZ44ahONjuHM_rNCkvU1ntNI,12530
statspai/did/plots.py,sha256=bHgsKffkBOjxqMoiqoO7MQ54wiEk-4sPTCUTWmkQiHQ,62029
statspai/did/pretrends.py,sha256=VjAB29DRXKl3rX2364mCdf5ee7XQH3kdKestbpba3Pk,63929
statspai/did/report.py,sha256=7NP7CZ-VfyJ9H6U_Rt6OL_CLWzW-4zNU_LB5nZDNTtc,55627
statspai/did/robustness_pipeline.py,sha256=icrbav--bSxVTMnzX0rAlOeQh_gqqwlGi3tkWNW3RRM,24641
statspai/did/spillover_rings.py,sha256=9B1xg7io7mFQQX-qjt0kRxOPhCWozmZO1w1CygDWJhU,19968
statspai/did/stacked_did.py,sha256=8eR88e4nslmVE0KlZNPxjapzfNAN10kzi9m26a6ibMU,28096
statspai/did/summary.py,sha256=WQu8as_NGdKmJuBeuZXQNsNPedGwah4bD6E4GyyV7ao,29975
statspai/did/sun_abraham.py,sha256=Y68mWnqgbyh9oX-WQYAWtv0W9VdKzzeaOOUbGxNBC28,41355
statspai/did/timevarying_covariates.py,sha256=px-4SNyUSTQxY5CFj9ZtwL0hLxzYDJSqzvQp7ehRCAc,24438
statspai/did/twowayfeweights.py,sha256=mL1rDO1jGf4j_ypPbSwe1YeUSTL-Y7wesz4mLcsX2Lc,23935
statspai/did/wooldridge_did.py,sha256=4nS9llTswXz3R73VQgT75A0NjJsCKnTNCLWqKh_6Ks4,167016
statspai/did/xtevent.py,sha256=hz8CuAiO4yZ6WIL9qYa6dW_s81V9MO0HVCQkD7BAD7I,12951
statspai/dml/__init__.py,sha256=HyYFSLumGNZKNNAnSybG5-lcPyvpV94NZlkVROGmNv8,1907
statspai/dml/_base.py,sha256=JCTD6yOyXnFlD6qwI8tzAfJved21HIKWI1Ptmn-cTn4,49976
statspai/dml/_diagnostics.py,sha256=oJsmiDjDHwRPcjw3i8W_IOvNmKAjiShvZALaWxQ1LnY,14844
statspai/dml/_external_predictions.py,sha256=tvKi3_jxfcqYiQen3AegwLttcgT3_2isQEJkIv5SYpU,8862
statspai/dml/_irm_score.py,sha256=FgVlDcR42mWwsdjHoqMZircXcgl4kBIoblGcZU7jB2w,5889
statspai/dml/_learners.py,sha256=zBeHmWGhbyB35gB4DaBLouq2TFzdA137V_Be8sGnWEY,9724
statspai/dml/_multi.py,sha256=uTKTvP6qEM2si_I0lL8IIkNICOjKzHm7vJPRCPsgTDc,5095
statspai/dml/_oof_bundle_validation.py,sha256=MGRh7HlIb301ibKIMbAA9DQspbRS19RA-Y2bDea8-oQ,3752
statspai/dml/_oof_result.py,sha256=DVTb9wksaaQr7hZWOl2PYtkcd2N_HV2tzr_cU5QheI8,6188
statspai/dml/_oof_retention.py,sha256=81t5WEBbbCCj_50sFlMLq49I3tI1fJN0hUTum5oLq-s,14625
statspai/dml/_oof_score.py,sha256=UY4gMCi1oi6XKeRRUz8acfpoWkU_LkMxeaktTkz18bs,2191
statspai/dml/_oof_serialization.py,sha256=vjcdfQP528XXmQCNCMdlt2gWOjGkDxlTRARdwEEXA0E,5101
statspai/dml/_oof_validation.py,sha256=JJoOcJpOTfSikt6ch0rmNjVd8UuLN4agTPU9EBjvcQ0,14578
statspai/dml/_score_concentration.py,sha256=TMjtxsxlR1FIkZTM1dLlSt9L2qMPhDr9QTpXkykZGhI,4239
statspai/dml/_sensitivity.py,sha256=8_YMfd78vJne44tHG-EbKeXfg6UHbUI4MV28h7bfkxg,23241
statspai/dml/did.py,sha256=RPne_uaITVi74N_A2CYlYU67nheywXNavzySq3UlaIA,25015
statspai/dml/double_ml.py,sha256=0XxtNgpkD9jiBMdWcRWln-NKL2X4HqJwNqlSVh2la-E,22190
statspai/dml/dynamic_dml.py,sha256=bgipucmZtZNHRjETsvh3oLJiyT0e7uiwu4rtGOS_VSg,30482
statspai/dml/iivm.py,sha256=aybGeIc83PGCPP9wlP1pyoJhcxBXoM9p-tZIX6ciwEY,15702
statspai/dml/irm.py,sha256=bWW229ukDGbW_0FA16iZnCcH4pw7VrYlq83yTQJroTU,20472
statspai/dml/model_averaging.py,sha256=Wo3uyX9e5FpNTLJHc_dwuPpXdZtDhvdOGDh64CT1Vrg,38178
statspai/dml/oof.py,sha256=tHVhugiI42_6aV5VC9OKfjHag9vUU64EdzPAmKJ2YFE,20275
statspai/dml/panel_dml.py,sha256=v6tgvp4H_y6Ec5iZ9BpSuxGzs_7d5GMsJP3s3o01kl8,32628
statspai/dml/pliv.py,sha256=xMDwo3kDZoWapdnweHlDQ_gCd5uxJTZ8WTMBdrq8cs4,11427
statspai/dml/plr.py,sha256=nzNkGsNljSUhzIFXIV9S6ElE4iEmDT-ZGylwTvd6blw,10153
statspai/doe/__init__.py,sha256=nSbMX2-4bnIupQFaiisCOQMoeYCx4ishvADCGWCQjrM,2423
statspai/doe/_common.py,sha256=YN4RrA3o690QwAvzjrikqPHaKLPxESkqvuliHDTwGrY,7312
statspai/doe/_factorial_core.py,sha256=x2XFdx-xo2EkMeTiq_nlcyXHJJ-FQjfcbz1h7esNyDc,1973
statspai/doe/_spacefill_core.py,sha256=LlBtYDzlVraHNkiuP2j15LDVAbNPhAIUrgGOKOvwG60,3944
statspai/doe/criteria.py,sha256=SGB5UQSk4DAHSbmtINd0o2H_ulDqtsGpABpRB0Irz0M,9324
statspai/doe/effects.py,sha256=zf8wvgvD6lRuanqf6LyxUQgkW12Gnrro4bR6wJK1TS0,16163
statspai/doe/factorial.py,sha256=stFLBB5hk63V186WSj5TeD-DzBxPG6rhh7-GTPi8EYY,32695
statspai/doe/importance.py,sha256=aLd5r34Gm_5NIQ9exz4w_LHx6junD-eseRIEQX3ATBs,12185
statspai/doe/mixture.py,sha256=qz52k4ptrIcOsEalRlGJQtCX0AJE6p76o0Qm77DILgY,7377
statspai/doe/optimal.py,sha256=7bIBQmrUnFr9FE8g78KzxcUPtCxEoih7dGodAhr4c6Y,33824
statspai/doe/sensitivity.py,sha256=dHFB15Npy_xM2jfX5ZN8OuHppTwriw23yCvoX4n54gk,25088
statspai/doe/sequential.py,sha256=pB3Qh08Eh0A4DgQ6tKeWJaAEAEhikkX-4LrEz9hw_mg,16330
statspai/doe/spacefill.py,sha256=m13uyHUs-tG-dVuCy67QXsrjG2l9AhiaUibklpTbutw,26939
statspai/doe/support.py,sha256=2OIV7CTvGG-O0-5sKbu8I2CJuHNwCnDWuYbKLDbngSg,25158
statspai/dose_response/__init__.py,sha256=pTGdkXR4MdlwJ-mz6yPFhNowbcSp9FYNcuKkurTnyoE,837
statspai/dose_response/gps.py,sha256=I98Opd7E33d7fxfOpXOOqdtTUNNPnMveMA5PQDtaNy0,12414
statspai/dose_response/vcnet.py,sha256=h-jV0zI4UaFUsMCuc8SIdXIdROcEENaZTLY-zwfIpIs,22680
statspai/dtr/__init__.py,sha256=pXMPCUw4tsS94u9CXPmXCrpatgLiOXDoz1_geq7q1Iw,920
statspai/dtr/a_learning.py,sha256=2mV8N60qg6rTpKh8-gYMeCd0daGuf7ZKwEHFE8AWUec,6817
statspai/dtr/g_estimation.py,sha256=vo48wPZg67A9ZDqt7BKgVPym4jhazk3Y04DzM142UEU,13800
statspai/dtr/q_learning.py,sha256=VG3w5nUfE465WpD0pKL1yBWWCNPSjSENWHaj9SU16eU,8246
statspai/dtr/snmm.py,sha256=iGPz3sedpXWkwKqWosUrztexG2zQZjW_lnGrTjH2IUE,6390
statspai/epi/__init__.py,sha256=nzLvuzrEU7CbAVOaBFWUDBPfzjXaD3CXoHNSrCHNR4w,2546
statspai/epi/bradford_hill.py,sha256=E8RkYU5nhNWdTEqaQe9iOEo8eXSOlH0pTFTnZG4zgGs,6716
statspai/epi/diagnostic.py,sha256=T2m94i9fbc-M1lmjAz0GHY58wnjvNJfz0LU6Wn7Dnxk,25618
statspai/epi/measures.py,sha256=wn6NppCwY08ibEHTNoHHAls8Oc8CubKfkldl1oGmYmY,29985
statspai/epi/standardize.py,sha256=FwkjPzHMqC5p4_oaqeJXDtz7R7Ai1QSe0ReYo96bbRU,9751
statspai/epi/stratified.py,sha256=-GnhmGeB4C6mQyBcqgTXVAKEgHrUN2gWGwFuxLNIdXo,11143
statspai/experimental/__init__.py,sha256=zbsl-Y-HpMXlYFt95aszr9vnNjQ9BLK4lBSXHA0NqBQ,1016
statspai/experimental/adaptive.py,sha256=B1ExceOvVmuRCvR9a4VzeCXbHtYmaZn3zwdXONnyCvw,38763
statspai/experimental/attrition.py,sha256=P8IHlmEzD7R4YxyzIIEYCZw1L8hiTX1k5q10nLVhEPs,12549
statspai/experimental/design.py,sha256=H4TeKKM_BAHJu2N-YMatlqcIhKVlrFojl2_fka7T0Tc,23458
statspai/experimental/optimal.py,sha256=M9qAbbwxT_24seyCFnQzUey_SdARsxRR_FuwIbeNFLY,10803
statspai/experimental/switchback.py,sha256=zgeD75XliUunTu91vT5yIwMKDv6MhafYBYrrTv4iyv8,22124
statspai/fairness/__init__.py,sha256=eK6KsxAldQkvWLfax0kuAPZTwnHKgepNGct6iYStF0I,1739
statspai/fairness/core.py,sha256=7ZN07YyR4c0p9xmHxo5sL2M0AwkQ5PxX3rhRNfBGdYw,32851
statspai/fairness/evidence_test.py,sha256=JmWPwQu8ijWE-gY_E3zhkZKsg4VlIK0ikf4mo99Mq7w,20099
statspai/fast/__init__.py,sha256=SAtp5Weiw7M5u9nf-qqG0-CFbMEnHFcHct_lppohGRc,3410
statspai/fast/_jax_fallback.py,sha256=7YEpa6fK4E1CYVlTi0FEsZ4Z-sI_9ZO3JT_4mmxCJMo,2235
statspai/fast/_result_protocol.py,sha256=kUbLn0OmqU995-KQWMS6f1ZcK9dCFrb1RNe_coSi77g,2409
statspai/fast/_validation.py,sha256=ZnWvBV1Z7eyj_wiig6VrklEwrjEMpCMmdofjH2B5Jw4,2351
statspai/fast/bench.py,sha256=IU4UddOzwyk7WYni0irLeenxlktlgb0bcFOLeOwqvXM,13442
statspai/fast/demean.py,sha256=3MlUmLHpPAQHL1RCvJXRPN-x-cKVRtWWwHLVRydbEXM,19832
statspai/fast/dsl.py,sha256=JnTEOtz8gaUYn-95ZPGWzVrmosAs2xX_zewnQFTSrA8,7374
statspai/fast/etable.py,sha256=N2OpXSMNxIaU9nyiJ9PURQbfo05gMCaJVBUc0OhWP-c,10985
statspai/fast/event_study.py,sha256=au_nq1NtOkMnIUtPQy49W-zPM0zJaWIwFq2lf-bN_tM,17504
statspai/fast/feols.py,sha256=MdTgtgmm3x2Z-vklkC0VOkZ7WONRVWPFhZcBDBABni4,24159
statspai/fast/fepois.py,sha256=xOo9tTLGMNmQu7FQ6yzWD2XnZUci038PYHlUb_peKQA,46432
statspai/fast/inference.py,sha256=pgvO54crJUCfYVGttRdC4zgH4JFHCXwuGUY3N9VCJCE,56373
statspai/fast/jax_backend.py,sha256=Yjhk7w7A0WqwEusVJ0XBCnk2q1P68Lr4cIsHyxEHnug,6375
statspai/fast/jax_feols.py,sha256=MXFEZvjfXJu0keSOlbKEpqQ2sW3OueFwPdwlOeYpXBI,48382
statspai/fast/polars_io.py,sha256=x_MK2-PCNz2QPcrY1JVhCtQRDJmFok5-m9Lw_V9kCMU,8508
statspai/fast/within.py,sha256=j5xaVtH7OLKHaL1u44AIlq__aANPQwjvMvkWBju18_k,13885
statspai/fixest/__init__.py,sha256=dICHNps7n1W9dgUHscoifTfDzdt4QIOUtj2G6Oo2AcQ,1619
statspai/fixest/adapter.py,sha256=11M9zmvS7Au6Q3tKmuoLKrtXuSamU3Q8lDlQgYjc7CY,11434
statspai/fixest/wrapper.py,sha256=lP8efbYhsDUEYfC6n7PUZiZn0YH38VwrDAP3GUc6Iq4,71887
statspai/forest/__init__.py,sha256=3uPCQIoELO7w7tmxBQsyY69r4JVTRJlYN9YRiLsij-s,3179
statspai/forest/_fe_imputation.py,sha256=V3VgehqGVLhXODVstvkPXZUB2rEktXsljVFcslfgFIU,50869
statspai/forest/_grf_engine.py,sha256=9Sucxem6EjQjIcgMzo0xdl1HhS5LNXYOk_S6SUsQsbg,57537
statspai/forest/_grf_ext.py,sha256=1PLHVEWDl-m0jecXBzWhd9uCfQLkKhTYU2yDPA4lEZ4,42830
statspai/forest/_grf_family.py,sha256=H51einzJrv4ARTVQF4Zq_FVuFaOeKgCXzyzVqWyK6ac,27466
statspai/forest/_grf_fit.py,sha256=a3Uv476sL_tdULtzeBk5qONjjdkQJeTncTwBEOmgovQ,11194
statspai/forest/_grf_inference.py,sha256=VKE_MMnZpEWk2N_xek1MWnuEe9QvPomYE46qPGvn7bQ,25057
statspai/forest/_panel_forest.py,sha256=9NYaQPBVTjAVWGEY00qFSMShjRMtkI6D-sMdovXDdrM,11541
statspai/forest/causal_forest.py,sha256=27UPOvtf2Lvo-x0R_E9U0fidDmNaXvhaMm9wUGEBbGc,101389
statspai/forest/forest_heterogeneity.py,sha256=4JsZoePeqDn4Rr8CzMfuSSIJoQPeE-rabKtuv4IKfP8,75678
statspai/forest/forest_inference.py,sha256=vbOUAVo5N4Mw2UOw1xNjoVwvNbyv5hMW-Ul4BJggAuQ,96239
statspai/forest/forest_tools.py,sha256=d0ENzuSLJVh1EuPPGi0YwhvO8loNXCaq3NUAjhoc0c8,13237
statspai/forest/iv_forest.py,sha256=GzP6ol2x21iqq9bqZowCv0dqhaxx0sqdViUP3kPgbyA,22926
statspai/forest/lm_forest.py,sha256=Ti5m_g1cbPkl1H1CD9c6rILJSXFRVzQRzdJD6-r_n3k,12106
statspai/forest/multi_arm_forest.py,sha256=M3sBGWNimMeHKKVqz2eUZObOWCmf5o8PDKK55l-nJMM,20188
statspai/forest/regression_forests.py,sha256=oiZz5qs9BQ2Vj4yga8FJc-xSD2m58oDWxDpJkSUFMOk,23748
statspai/forest/survival_forest.py,sha256=jxms067uf5Vp8D5OzNnzCCOPOg5ikDZlMXTFeU5qLnA,12459
statspai/forest/tuning.py,sha256=x8p4_68Q60Olk4LUpYWjVAXk35tz4K1F1NPx6szrHyk,10219
statspai/frontier/__init__.py,sha256=x2ejFX4jwRhWjNesJUhmD0FSb-zbb3Xiikb7TPLM4YQ,911
statspai/frontier/_core.py,sha256=pzoX3nEDSGhD3NQnfqBh3n3sHBPY-098pTiwpScFmvU,24402
statspai/frontier/malmquist.py,sha256=ARTMrj3adPhGcDHCQRZ_mODWoT7UeOxdxuOX6AOyb8Y,18725
statspai/frontier/metafrontier.py,sha256=TC9VCyKeNArKOeQ-FPbLqMKO7mn_yHlR_ASgPDYHb6c,12865
statspai/frontier/mixture.py,sha256=ZKFxy38MixmkGyl0ID2aGu6ZKPEsmC5qMKuKaa1Ajwc,23031
statspai/frontier/panel.py,sha256=3BBpqbOiCFggi413DJFSTqhSWd-F_osrJuAMoeVBXeU,43242
statspai/frontier/sfa.py,sha256=Wh8RsoEv1MSRDPnvkxxjTrx72Xtq6Z9VDfpP4aVg-ys,60497
statspai/frontier/te_tools.py,sha256=E8asq-dmMiq8Gd2-WNAMdHKWl_PsVd0BsJ4VcB4dQYI,3082
statspai/geolift/__init__.py,sha256=Gyo5K7z7ylXm7zI7m0fEX6zQIZbUi9tg0q1W7VBD228,331
statspai/geolift/core.py,sha256=qudK6EGe6NZIfuUfMJG2aY0OG6RTXpSTykbKnnJX7fw,5977
statspai/gformula/__init__.py,sha256=h5agmzRW3WtrUNSCcMZ9cpTUTDERWtgLNBSjCeZINGI,1443
statspai/gformula/ice.py,sha256=GDrByWCCcMR57vVFVn0h1Ks1PEXb8k1pXrnVWjQZWgo,12596
statspai/gformula/mc.py,sha256=Rs7Tg1YjUDuAj8TsVT6CuIj2rAWs2AIMLun1YLJm51U,22505
statspai/gmm/__init__.py,sha256=bTOa7oXK7VNVmLlTYlgz2Se_6OF4xv1L1geNZ-AMuHI,408
statspai/gmm/arellano_bond.py,sha256=KQGLvKQsf3I_QTXhASYsifgi0ZyJqepRzLdXHJfpQb4,27496
statspai/gmm/general_gmm.py,sha256=ICvg32Sg4u9uJdYZuhENvSKCn8FALwI4FcgtM_GuW7E,18322
statspai/gmm/lsdvc.py,sha256=X7vwd8llHw2FNlFN_KANL5ay-1DvqmH-szxAOq3AvPI,16321
statspai/gmm/_dynpanel/__init__.py,sha256=910VbgBLSHK5mow5_IxjWr0v4hfiymlJud91Gij9WiA,1582
statspai/gmm/_dynpanel/_data.py,sha256=Pihc95hJc9AgF1kPJm2Z9-KT5QYqK6x7lVVleyscfEU,8590
statspai/gmm/_dynpanel/_diagnostics.py,sha256=KY4Wklkh2pZsOH0Eld8-AASJMGluzUCUL1qVQjJvq1o,13480
statspai/gmm/_dynpanel/_estimate.py,sha256=VpZPnfW3W0HxPuNlQV_lPSKMA5-R1Azz_E5jwaJGVEs,11251
statspai/gmm/_dynpanel/_fit.py,sha256=tntyPbHsV4BtTv0HHwdyuY99k8c_-y0z-5CdjdJRYLo,29793
statspai/gmm/_dynpanel/_inference.py,sha256=909KvJCyMtKuVIpFVMfs-IlzaNzAbxNbz9MWJ3qIebg,3021
statspai/gmm/_dynpanel/_moments.py,sha256=IyTOBiZolk_sp-DrSrUfI8bUPJmXpBGHJafILxIfaLo,26784
statspai/gmm/_dynpanel/_spec.py,sha256=doOwooBjsPm4qL_dHYTEmJ6fj2u3_m7VKWRa_F2j_Jo,8594
statspai/imputation/__init__.py,sha256=J4mddvAYnSwUhTRVGjaGFfnwVBbk10H51_CDp6HOShc,314
statspai/imputation/_mi_test.py,sha256=Afl2ychmCzrflLZHNyjXTNNF-G7D3-iSW-JFzK0bLnY,9855
statspai/imputation/mice.py,sha256=UMj5GdXKtOC4WK2MU89ihXrVf3VOLKxBX4Ec65Kbt5I,29086
statspai/inference/__init__.py,sha256=GSAIHpINdJ9sJHkEtVh20boHtvgJmC8ntGBVcJ1mo80,2480
statspai/inference/_dof.py,sha256=IGfXHLZsaUSUCmVoX9QDGakzuHMF6YNCeRpYEUe6VMU,3687
statspai/inference/_jackknife_general.py,sha256=IAI7eQhSERm3hYa6Hh35bNmubk52RzHw6GExHkybZss,10073
statspai/inference/_psd.py,sha256=q63NZ40WHtJKdglrnWzMirGL8NabpZgsjXgrlAqqQF0,4997
statspai/inference/_regression_adjustment.py,sha256=CFy8ouN1oBxau2BkEscXJH6yXRm3DdbZABwai9yoZqE,4755
statspai/inference/aipw.py,sha256=DoyTQihRWnVca-TiWO4Ym3sJgJ18E9PJStFdDe0x0HA,29710
statspai/inference/basic_tests.py,sha256=VK6NBXOmxMEeqwauHZ3pB09zIHxfGri20mfzYZvqNf8,27105
statspai/inference/bitest.py,sha256=o2aqpuDQ8zrgPzQZuNfxjUytbUhdLvX9e3fzDG6y_Vo,7389
statspai/inference/bootstrap.py,sha256=Oc8pnJ1Nz2Nap91IRbkdLsysXW60ERQT9ilFzkxz2EY,20825
statspai/inference/conley.py,sha256=yW8S6UxKp0fSyHECkZfKPqaVSXM1LUZHxz9FsGmnRus,36503
statspai/inference/difference_in_means.py,sha256=_g8wMS2LdlRHWQ9zvjv8dzjevpwPinowQNQ6b4CI7Og,15050
statspai/inference/effect_size.py,sha256=3kc-qR4h5XIB2cU3KbUH48eyBDEzHepq5jk3c9YOUKA,12792
statspai/inference/front_door.py,sha256=OZiH8ZVDJo7o6TRBKFs7WySVkR1jxxnq0x6W_wn1Qsk,25332
statspai/inference/g_computation.py,sha256=B-c4KY3_ZZ7sP_OwELMS9mnhv8UxDgUDFpVm6wQchek,20084
statspai/inference/ipw.py,sha256=JwsGSXwfjuchRDsVF9SmIM0z5J0DUUH7SaW_EAnE_Bc,28516
statspai/inference/iv_wild.py,sha256=V70ueBmDomo1bFSzY-uQPJkQMgeyahoH2qcRfdJtSe8,18457
statspai/inference/jackknife.py,sha256=08FRE6An6KOLEvJe4OX_pudO3zaRO95Id8w4Ir9TN4s,54885
statspai/inference/lm_lin.py,sha256=P4JUxzReT2lAWu27U8SSi3fKalpwvelGmDRBI_ghEMQ,15961
statspai/inference/loneway.py,sha256=zS4yQpBIJlJqBguZkMO7Z5gs6U6zkttex5ME_OqqhTI,7285
statspai/inference/meta_analysis.py,sha256=Sz_PBlWRxUmEJSw-rZO8NICrIhun6XgtVH-9Yh8uJC0,12299
statspai/inference/multiway_cluster.py,sha256=e-S0WaeobxzWrkEyiytekYkw3Sq-ylv8DmaiqNjhLr0,9653
statspai/inference/pate.py,sha256=ezTDeBWwppJgVZsGamk95WVB-Lkd0b1CvYdPpL8vyMk,20894
statspai/inference/ppi.py,sha256=PxqhOybGqZBH1eQKiqaVqKQYXzSis7tsFyAW1bJXDAA,17179
statspai/inference/randomization.py,sha256=M0qY5wwMkj_soXIgPcOtPiPf7XYpn9VmZdJ1Oh6nMg8,54524
statspai/inference/rank_tests.py,sha256=YU17hKOHjjCjyf5XL1y4E-_FXpJqfTFLIitvtjjehZk,31741
statspai/inference/sdtest.py,sha256=deV1yyJxOzDHE9ut1NNpWwq47oXjMBV8bxU1EIbwdfg,21887
statspai/inference/suest.py,sha256=gBVsFC8THNRDHNefdpaRNozPZ1IEBrsoZgM3FodoSvw,7952
statspai/inference/ttest.py,sha256=RTnwwV2R3eNfWHsrZ_d5DaBnHjEP0YuJxKkHCs_87Rw,18037
statspai/inference/twoway_cluster.py,sha256=gJ6Y2bkiNd1U8cbgWn-BHijby-Brv6agqUWGWMoPkvI,6676
statspai/inference/wild_bootstrap.py,sha256=x80Xox4XtAWxMufwioU4RbSQFFc2pPADyPa-GoHakqA,19028
statspai/inference/wild_subcluster.py,sha256=W7hd1vZ9PU4HtQEAlI-u3SU26F_DY5L6xkoRbA1H6ec,13451
statspai/interference/__init__.py,sha256=IMVSxPQ0YzDpCITWCyWzn2IRjK73utnCuL1CmZy8JX0,2007
statspai/interference/cluster_cross.py,sha256=aw9NXtIJSrqy8VUiqSGuXeZuomi_3CvDempKb3ykrKQ,5180
statspai/interference/cluster_matched_pair.py,sha256=-stx1EG6TAOmiZQB62YQmw0UdufnRYOJFYSH1JlAxf4,5100
statspai/interference/cluster_staggered.py,sha256=GzpoMbSZYb1zeCDh8Ln07NNTETcGRTN7MIfN5zBBNUI,7627
statspai/interference/dispatcher.py,sha256=VCTdS9fHmhU8Ha1zZcH3x-KyKY_qibYIgfEzyKue8Sw,6167
statspai/interference/dnc_gnn_did.py,sha256=BFMjCHGGNCZqt_-qBfwIH7xYJo7lESMPMG1t2WucIAk,8827
statspai/interference/network_exposure.py,sha256=FSEXDBaC5dUn31d7CxZWC_qHC50eR2qjVhVbF0kMeJY,26512
statspai/interference/orthogonal.py,sha256=gRDSluOYSqSeXcbdUSf3kvkGTuOB2AvGOtJygJQd1SE,13994
statspai/interference/peer_effects.py,sha256=O8oquQrDtTZenTQMAmfHT54fOjVq4vFdEw_Hp4YoBZk,8555
statspai/interference/randomization_test.py,sha256=34HiNZ7gWrbWc4r65ZOtN_tExSOv5Q416yYy6ihY-pw,19137
statspai/interference/spillover.py,sha256=iXMt51j9Pt-oAxEHaK2AO3QeR9-Bh8YOdDGFkhpNN7I,10594
statspai/iv/__init__.py,sha256=D-sPAqMDsHlAy-zgiu0wk2Xrv2j24el8epsSAEgmHTo,40202
statspai/iv/bayesian_iv.py,sha256=0wdGmCEMjyGQTsHObKkriOC3oBjtuGtm46G2oAsykqY,9378
statspai/iv/continuous_late.py,sha256=V3EDrmZG0EqD9cXeG-e5sVCqRns38sgbP-AzjqKxAkA,5990
statspai/iv/iv_diag.py,sha256=fiJQvz6auC3vjV_R224pf5N_3ldcez8dU-A0K1zslSM,53966
statspai/iv/ivdml.py,sha256=lC3AlSZBHifALAcH51jY9GNo8xB-lg4LFFFPgq6MrKA,5949
statspai/iv/ivmte_lp.py,sha256=0fqe60SekDel4qhGEHDUdXfEl3XhmTN8YnwVVovTo94,19827
statspai/iv/jive_variants.py,sha256=EQq41xnHZscLUjGG46yUyMWl4hHxSY5bttkmlWmRgVU,11677
statspai/iv/kernel_iv.py,sha256=jeXBSriKHI9_F10x0dQFbYnrnhQidRajTUNqiaUD0rY,12981
statspai/iv/many_weak.py,sha256=x51t3I59B_NQd3fcYgMXXjV6C1Lx-WGaba-vlQQPnwE,8314
statspai/iv/mte.py,sha256=msP6CbLG-nfJEvnNiAHdsxdh-A1jvJeTiwoNcZBa_9g,19988
statspai/iv/npiv.py,sha256=xssd6dvPuDK0r7c3otdi_2Az1OgMcg2x4JxE-da1KmA,9563
statspai/iv/plausibly_exogenous.py,sha256=5A9MogkfNrrcuwDB0Hwy9K7bzqhcd1BETuANXbaTnYE,10520
statspai/iv/plot.py,sha256=CH-XFBZeKacktWpssr-76a7lDA0sook_rP3ImfYnmaE,23307
statspai/iv/post_lasso.py,sha256=K-6Jys5ck0_nJCnCuscB-cJTL7NX0fPKGwDvMAkMXrE,18134
statspai/iv/weak_identification.py,sha256=7V-_wZKRX7cPsnYJlEUmJc54_Hp1pOQZxDOKRysQh4Q,29992
statspai/iv/weak_iv_ci.py,sha256=0KNhJM6PWqkmnXvYCMYH5MgJ4y1fSnqGcUSe46eFWSA,28335
statspai/iv/zero_first_stage.py,sha256=nJD-1dEQkle8Lh75qEjUxE0P56z4czCb-5Yf5Aza5dI,19076
statspai/longitudinal/__init__.py,sha256=MO9U4YSNwq_myf0SL72-_aSfdTavgGUBCkfp9X4az8g,1881
statspai/longitudinal/analyze.py,sha256=fUHza-vqqIUcereWr34ufbeGWCmWhaiXfObKlPYQt54,19115
statspai/longitudinal/regime.py,sha256=lmwAFnJX3Eu4U9her2nOJK0HCdNEdIetnGlOumuRL2A,11052
statspai/matching/__init__.py,sha256=__FLvKPr6llT_s7Ri4cDdQ1t6d6TP-rFUcOkEWNFSO0,14603
statspai/matching/_ai2016.py,sha256=FUaaFTXI3EvMHjSIXQSBL1562ZT4mgI8-aSc3L4FoWg,19584
statspai/matching/_binary_fit.py,sha256=TDFZTOqbyyAWDm5mkZuWIeKrhsFyUkI86pshnVseL9w,6039
statspai/matching/_matched_frame.py,sha256=cYYISKWQOUOpst0lRh_fmvwxAT4Jwqb1avxihya-fGk,30504
statspai/matching/_mcf.py,sha256=CzN-gK2nD3bd-QgUChMy5yIn_El9cVFOSfnQkkhydM4,9743
statspai/matching/_psmatch2_nn.py,sha256=NaHMIQvLQHXGxGlZo1Xjov8KFkv-6l-dBIx2fFkUHA8,8075
statspai/matching/_pstest.py,sha256=JQLoiEZMSqDbAvyCNzpBLFnvqGXkoflyBiQJjDTcMpw,14057
statspai/matching/_radius_pairs.py,sha256=OT23fJ3x0tSbFrZEhLNtsrfFxowJvGzlqrmMSIA4mUM,3165
statspai/matching/_stata_lpoly.py,sha256=APQKl8sk5nDw0XKPXD2s41bTb_WnJKBcPJe9FtuhQHY,4871
statspai/matching/_weight_modes.py,sha256=zxWr9fqwyeyiig-2cgoHVqV0Oha069zpP-GScblXUqw,9961
statspai/matching/balance_randomization.py,sha256=hceHqwo52djkbUvzKVApsHL-ocMV_MUYKXKFCUdSfvo,11403
statspai/matching/cbps.py,sha256=XPERF7pDTZ08iWk8NhQcUYwW3XOtJivPqjnqQSpeTt8,22385
statspai/matching/ebalance.py,sha256=1XhmZfbW3nxMC5GixMHbnwlPNOvO8I9Q5lUdkNVcScQ,23930
statspai/matching/full.py,sha256=ctc0mDdoKVMKYpYp_KKPH-MrY5jT_dfJ0OC4A3mmNXU,21648
statspai/matching/genmatch.py,sha256=5CCaZzaEnLe8U9c-U9MZb47aMPMlKdX3mDPbEBKRjxw,13986
statspai/matching/match.py,sha256=1p_t6s9LDgujmv41JoIXsorgoW_QeThuokYP0CqJJ38,137617
statspai/matching/nnmatch.py,sha256=4JkSHCP6mgHPC43atGbhwspt1ic16IXmxTjTULY66tc,21165
statspai/matching/optimal.py,sha256=xs4a8yE1rQ1ybrA9dHqOjJz90GOtzae7dbvLPzyCwKw,19773
statspai/matching/overlap_weights.py,sha256=Sfa2pmWcxcDPavPXoxKMiwDZIL3_PiNZL82CdfdWp9s,8328
statspai/matching/ps_diagnostics.py,sha256=KFjvfn_Q1IsbkpyyxS_Rd3XTdnor_MVyNKqR1qEXeIM,45171
statspai/matching/ps_weights.py,sha256=3mMPUboamTjP60LPNZ4f_1Mqc3n19Q-8MaOnc8s06t0,19968
statspai/matching/pscore.py,sha256=mZUDgrJh5rJoVzMfW5BzNBpyC2K5Eb8lZsf2BHTyJCg,16480
statspai/matching/psmatch2.py,sha256=EszZKUV5eh4qV_Pl-tdeJmTfqgYuG9lAT85BiH_nBGI,63734
statspai/matching/residual_balance.py,sha256=tlBzvtOabRlXMcTr3Bbv9iLXVaXE2fja5uPxnfjanbw,19056
statspai/matching/sbw.py,sha256=0fAQ1DhzjrueRiY1lVqb4Sndm660S_Oh1NUGuU5Dd28,21320
statspai/matching/two_criteria.py,sha256=S6AP2EKVO1cCVOPuvpSXWp50yb3deSYDrqhwwT1U8aA,31642
statspai/matrix_completion/__init__.py,sha256=ciE5IFrLMdI8sU1z_Al4pPlgXiXEkZc2bMffQHMVsLY,507
statspai/matrix_completion/_core.py,sha256=Zntc5de1AD5u3IRnysW2hIdk7ZS8ML0ZO8Dd2eTZKCo,5959
statspai/matrix_completion/mc_panel.py,sha256=_c9K4Q1xu09zn4_ok0o6BvO_yOv441JmJIXiM5R0HPQ,15927
statspai/mcmc/__init__.py,sha256=CqyO9q7zJFIGr1MJQoY_sWFMnJbr_SJEymtAQyVek6c,2108
statspai/mcmc/_core.py,sha256=hgSatsyYE-k-IKKjagZZDiCecF9QuxK1IQOJMD6l3YU,14730
statspai/mcmc/_models.py,sha256=Pe4RqaCtvR1l1kAv9MLcp-Er99p2RxlMVJhoE5eOCmM,42982
statspai/mcmc/_polyagamma.py,sha256=x3869EG7VLn_wUIMl5VuNWlJQvE_bRtjG_CFpaDV1t4,5357
statspai/mcmc/_results.py,sha256=LcQrqJetDEIq4quZlslnsanKFMRYze8nihFgh-l9isw,1711
statspai/mcmc/_shrink_logit.py,sha256=FZH4ahKu63sHcyzfj2CmfozjHG6CnsPWwWEE1mfLln8,7937
statspai/mcmc/_workflow.py,sha256=SIw_E16aueFlP3cRxcndAdpva23b518QDuBWsTsJsZg,14044
statspai/mcmc/arima.py,sha256=Qmt1lYVyhZggJ9VZZ4TC0My4yA8EeeU6EvlSx5uLwWo,16733
statspai/mcmc/bma.py,sha256=1uMq3L6pOfjVjtoU6NdwZCGOoJQSPIrYBwz5QIp8XXc,39651
statspai/mcmc/bootstrap.py,sha256=yXdOYUwsH-FhrPuvch1jrVKnsS0zaO2u8kjYmFcwmwE,7047
statspai/mcmc/checks.py,sha256=Nr3sLW7xT51xXiyMpOd89Z0HYr4KS58MGrL-pwYDlFc,17200
statspai/mcmc/compare.py,sha256=79pGphGZyzIrfJdSQdcOKwe-LeF7FCOjNJRvE3VLaHc,12789
statspai/mcmc/crossval.py,sha256=YkOFUI99GE9z0hVRqyrMNWuVPbUWoVdenFFhLo4CFxE,35554
statspai/mcmc/diagnostics.py,sha256=bZ5ZQ8XbJhXnqyNAFRy9sknDK4-hGfzyd5LPYRF5zss,30510
statspai/mcmc/gp.py,sha256=6v3yzQ7bZGtEt_ibbe6EJE4RfqEjM3h9pxtPNdc0ScM,21050
statspai/mcmc/iv.py,sha256=0NtzaeNdeLxnxtadYvuu_ndxT4JU_IJ8aNMQv6jmK50,15177
statspai/mcmc/mixed.py,sha256=AWT5k9sRr2FWkaaBpcEOLcnhGAWy4YCaoc6UTnNU520,29958
statspai/mcmc/mixture.py,sha256=8xAsddKX5br0t8E5Fst-X1AvPHr96VRlBb5F1Yd-z5o,22237
statspai/mcmc/mprobit.py,sha256=MW9NN1AqztN2qaC3ChsCuN8wiqR01H6s73DGBF8AKLQ,16837
statspai/mcmc/regress.py,sha256=kG7paA7O1Ok1itq2wOKq_MUOLUhQ9g2bHT3EvGj61aU,72334
statspai/mcmc/shrinkage.py,sha256=ITwjitg8KYiQ8o2_8jLIumVJQ_LFce09DweskXkkT04,22880
statspai/mcmc/simulation.py,sha256=CVE5YBCX80Q3bxIsqeqHf5qxiK-2esf_TjzwyWWDmQ4,17374
statspai/mcmc/sur.py,sha256=7MQuQg7gDpQLY00qc_DShbgPsVSauFeN6Q2Ht4n2XWY,9549
statspai/mcmc/sv.py,sha256=YP4eujO0nIx3yAHGHL_4fGqi_SL_Dn2gYU87PO2n1_Y,12304
statspai/mcmc/trees.py,sha256=fgWC2CsyoJO6_fWC5xxJg-tb3HZxQZNaJvGhu9p6ssg,29158
statspai/mediation/__init__.py,sha256=Ad5OFZEc8PP5ENDQ2gTbAck50jF62-4P65OPAny6rcM,1175
statspai/mediation/_po_means.py,sha256=8-92TBvsqlQ9Yd1eWQRp4jJ3EAzzlNUB1v0KTugEDFo,13202
statspai/mediation/_po_means_nonlinear.py,sha256=MHX13Nnr3qj3mdRhwsFsMI0GAiYV7ZtlCd_V9XEBD4A,13856
statspai/mediation/four_way.py,sha256=4Aa-9OZifSkJtbOsoGgqxm6_S_Q8ubUB4JDoNq5tdT4,9832
statspai/mediation/mediate.py,sha256=6YMeYnuP6mKNFO4Ybtlz_-BXzjZ6UWHkArFpqwZauOs,43229
statspai/mediation/sensitivity.py,sha256=vv8Zxh-1GDD_thWuaShS4UuxygI2vt3ff67cUUmJy2o,15805
statspai/mendelian/__init__.py,sha256=TpH0_1gQNaiHhpYhiWWBvFSyUfjV_Wl15Rnj-dZm-tE,2788
statspai/mendelian/diagnostics.py,sha256=DVsDKbxXtJLfECz1c_oaQnrNi3893KPGTCG7wVbZj4Y,34508
statspai/mendelian/dispatcher.py,sha256=BuDr-dMh-Qp1CMsFgrPu-sJcDB3Br6vgyfaNmBpupkQ,7491
statspai/mendelian/extras.py,sha256=mf3Pw7GUw31TTuCb8Waj8rrZG6gMExZnpDFX4phgmvE,17336
statspai/mendelian/mr.py,sha256=IsWw_JGbpFnYxQvTwOAWRT--_M19_ILXIzDFxUMomUg,24428
statspai/mendelian/multivariable.py,sha256=kv9QbhXYpc_ukCqA2pt-6dgXKT0XMfxOW-G0aOTVuEY,26744
statspai/mendelian/frontier/__init__.py,sha256=FpPGV3SRCDORhqhlY5BjE4p7bkKFwn-4CfeK1EIq2rQ,1270
statspai/mendelian/frontier/_common.py,sha256=sr3gfzV3KX6fu1JhiR_wEFEiCae9eiMKiusBjNijSAY,1330
statspai/mendelian/frontier/clust.py,sha256=9Uh1YX5ELFxMXWMXO5NW2XWLyWRgGTegVrUtbR2PKD4,9190
statspai/mendelian/frontier/cml.py,sha256=wOp5YAOSkkdoH0wcfbATd35urgNBWPIGpn5tFyQEprU,12852
statspai/mendelian/frontier/grapple.py,sha256=nd5kMthk8nJHeU31tTnchh0DBpb2BiCurzR_Zkn_tfs,12424
statspai/mendelian/frontier/lap.py,sha256=pK2q0f1Y_xYYQpDUCVTq9tRkqJSS3us9jys8HXZQ1v4,7568
statspai/mendelian/frontier/raps.py,sha256=5HtTyJ1d81aIhovkFI1rwuridTvboNLbblUNSLR-_nQ,19492
statspai/metalearners/__init__.py,sha256=XZpg5WXkQVJb98mumGf0NsKANPeOEF3LEkAtBAqyNZA,1919
statspai/metalearners/_cddf.py,sha256=YvdJnmmSNvqm03EFtS2K5B7sh-xQ97gOAO0SyXRTwek,7871
statspai/metalearners/auto_cate.py,sha256=ZgQ86DtLemB7_gSoxFCZ1ZkFk79oPhSk_72eWhTRgzM,19935
statspai/metalearners/auto_cate_tuned.py,sha256=8QYH2mM4cUjZbE0Cjs1gyo9lKRFy2qCCRjvq9LL2ElE,26780
statspai/metalearners/cate_curves.py,sha256=Qqi6JMJb1-ovABof-Ww7i-c5fMGB7VNmg4L4LBr2dvU,13048
statspai/metalearners/cate_eval.py,sha256=CttMTgNtFGG8os16BZOVtfZR9OL6L-GhWEG2udLTv8w,15988
statspai/metalearners/cluster_cate.py,sha256=iAakM0zXKDKfENDylm4aD_99opdZUVmRMoA2XtE0RBM,4542
statspai/metalearners/diagnostics.py,sha256=DG54mcPeBhk0NDqC7aNSIo8wO-eKQANKeBdeuQ3J54k,32841
statspai/metalearners/focal.py,sha256=JFBiubCRJMcjW0sIR7TJF-OeyZX9_6W7bamLCXONlEs,6299
statspai/metalearners/metalearners.py,sha256=MM_2vE0iCkDgDd9IxlT3JSEvO8l7ACBqCfltSZ9xJOM,57684
statspai/mht/__init__.py,sha256=002cJqKyHSQv3pFoDn9_sslh7ptOnbaLZbjP7L_48uY,1189
statspai/mht/romano_wolf.py,sha256=_gkHOpnk9xIRVCZb3rO6rj2XUKbAcv8MKN8hzEAR9Hk,31439
statspai/mht/westfall_young.py,sha256=FgiPwdi5eZoTqZH4Z2RxWR4g3XPa3QjaB567AfLw29g,8493
statspai/msm/__init__.py,sha256=rdAPLJPACBYk783KqakmFIXjlsFEwc8_iWGxHln0-ok,337
statspai/msm/msm.py,sha256=Iyz6SN1OlGBMFTV5OwMLZ3rU22p3mbCxedIotxsYk8I,29804
statspai/multi_treatment/__init__.py,sha256=gN3j9xx6N6EKmWFbLui1drftjKnzRdYVUyDcbqJ-ndc,756
statspai/multi_treatment/multi_ipw.py,sha256=o-WNxTVscwE5hMdnLhhQvoGlLyasXH8CfQvbnoL9Pdc,18207
statspai/multilevel/__init__.py,sha256=ZxeKOK50yczOfJ4CQXtJD3GT39mRrN_Ugb_9y2dwpKg,1132
statspai/multilevel/_core.py,sha256=Sqlw42obQHzFZrWfEUoiIveNUAtNuo4bVuTp7JNnhrU,9515
statspai/multilevel/_glmm_ri.py,sha256=R1ne82xO7rvmC36PKYAbyu85Jq9KxY1DLZ3944318zg,4319
statspai/multilevel/_ordinal.py,sha256=SlMrHibWNnuj22sMN7X0mubeC1okJ3gmHitROUIDURs,27694
statspai/multilevel/comparison.py,sha256=h9TD3CRQ0toknoXLts1p8-gCi7SJWldZ0PoBAd03MBs,12219
statspai/multilevel/diagnostics.py,sha256=neDacKpg_Tmjj_1JaAO9FGYboEaDhkBGkWUMbid9ads,9907
statspai/multilevel/glmm.py,sha256=agdnBTBp4X8q0CqYeT_8WZ3vgo2Mwcy40Zk_VICZ7nI,77764
statspai/multilevel/lmm.py,sha256=5qGdZlxjGbR4jPMUYX8mQ4sfmTYNk1gaxcfKTfsb_LY,50632
statspai/multilevel/mixed.py,sha256=YxFVwz5WKNqzCOKLygG5HTmOcUIc4jDYGURQj65z8uY,302
statspai/multivariate/__init__.py,sha256=9Se67UgRx8-9sAQAnEV3GJCbUq12gd3i9scqzvfmopI,214
statspai/multivariate/factor.py,sha256=Q7mJeYjGohDHqbYE-A7Py1N2Ulqck5TWUwTTSzmwBGg,21291
statspai/multivariate/pca.py,sha256=UogiOFsjkKJdaQ2G1o-qP4rSCdWzh_wmw2hGJDwgRl4,9404
statspai/network/__init__.py,sha256=wuAOSGYpvYiiARKXFPp7DBTepFs9-5fpkbm13dJlwCU,5403
statspai/network/_core.py,sha256=iOC1XcKgtQ93GKYQLRGKTU4nozRxk0GsAOW24n9erG8,14682
statspai/network/centrality.py,sha256=1lPvGP-lGbaLKvlX8MyCoqS9rkGjo49LzKtJKu6vOvU,22526
statspai/network/community.py,sha256=Y_yrVa21nH6pXnRvfyploPk7XymWaifAr2_-E9uP2n4,13855
statspai/network/datasets.py,sha256=KDR1604SYlpyNLKx8O2AzizylBilZmpBbJRdAggUOJM,5114
statspai/network/descriptives.py,sha256=Wql3vJXrj6eG5DYVDp-IongJufNtVVetgjk-Zjjm5po,13280
statspai/network/ergm.py,sha256=i4nKegGCeHmTc8hGnSV-HSc3iSkZcI3iBoD3eqCMVz0,9517
statspai/network/plots.py,sha256=qfTDutbU-lmrbiUAERqvtL0fnEl7uN0B4Tte4AKFJow,5942
statspai/network/regression.py,sha256=5ueIolCgVB5L3jCPrB8Y0dhYJp4cGkN4Y4kHy34Yoe4,21374
statspai/neural_causal/__init__.py,sha256=PVl_S3xFjGC4_73K_jC0JbxkxxwYXxtOHgnDkUgltpI,2877
statspai/neural_causal/cevae.py,sha256=dNINPIpIjdy_IPKSGly10p02kk5N-1nu4wENgULZ0p8,14050
statspai/neural_causal/exports.py,sha256=fbEH6Pe4lau4JY5R448RyFudmVyBYoBqaGgBxbl2BpA,11004
statspai/neural_causal/gnn_causal.py,sha256=S6BBQfwkY60ltHjiFLyZLbM_bIucGeaAvls14vNiJXA,12995
statspai/neural_causal/models.py,sha256=hs1jSM-lk4EJpKjC8V8u88CtuXGFyYkNfpNL06sC16U,72838
statspai/neural_causal/plots.py,sha256=1EYfYQHxzshIGkt-UjPJnQp7SETS6TpnZdLE186EeBE,5695
statspai/nonparametric/__init__.py,sha256=vVZfIPqCSutuZLofnXlQ0SJvJcpW4C8oXBjJKYYV1Bg,706
statspai/nonparametric/kdensity.py,sha256=Kqs1XizNq7aujQAmB0_8fBJjnemAVmullQJuuz5VEN0,12971
statspai/nonparametric/lpoly.py,sha256=7md_hVsjdKdOWjI5-PCJ3g8KP6W19jgnivpum_eSwVg,12178
statspai/nonparametric/lprobust.py,sha256=kSpIVX6j7-ziV5lpauiRcbhkK0ckqJJ8xu-SAs-sD-M,37634
statspai/nonparametric/series.py,sha256=H9738vUcleG9eFN7NBdhIraL33AAwLiZueJ7p5ATVB4,14099
statspai/ope/__init__.py,sha256=nK3UUPNUVkiwbzzZmDuSOgE_H2RSC7DW4TuaQqdvqbo,1559
statspai/ope/estimators.py,sha256=mgrkzrIaIOHzLZCtivf4EMgcljZyhLV0aidR2nA8FNg,11304
statspai/ope/mdp.py,sha256=BdBrocv3LfSnSCl7apqe1d10WmrFMdEz2fnUL-jdBgg,25733
statspai/ope/sharp_confounding.py,sha256=6OArGtUNHjfdVDFMt0v73p4aBn09tZb8f6laM0GLi_o,20076
statspai/output/__init__.py,sha256=7_cFywNAU_ZCo4A8WEO_ZLkTMfVoW2I8f1hTQTEoHHw,5834
statspai/output/_aer_style.py,sha256=MzZREHR4ARtgowzTOAsjqjutSDEUYIQIRn7v_8MZgi8,12256
statspai/output/_bibliography.py,sha256=x2cxOCOp6XnCIlJmbz8gzGjZ8tYVmM7ggq6FXfMwceU,17590
statspai/output/_diagnostics.py,sha256=sdTDIli-biekE4Ov_HQmExlbiNx7wsJCBrC6wIFdMcQ,17495
statspai/output/_excel_style.py,sha256=dNTqmrCqFnmj8NJ8sH0ky_0Sy1l5878XcV96KB3xRF8,14505
statspai/output/_format.py,sha256=-tiiWRAUyt4dwGGJuaKBmwDznY-zYhWdPCDwiC_dWb8,24212
statspai/output/_gt.py,sha256=JtZkziIr2nHtVgv4fkumO6S6_SyZ88gxAB7KJ6fPCUg,16594
statspai/output/_inline.py,sha256=O6yCO_3gaSxvnftsMzNtnxWrf7Z_6pM8XFvBJxAhxIY,11526
statspai/output/_journals.py,sha256=_XhWBcOc78VAevREv3Lax030vFrmMPn8JkDHQbifWdA,9032
statspai/output/_lineage.py,sha256=pbkoU1e2iLmZ8rbCYA3ipS7U7McGdSzjNUwUyq5xSUk,27836
statspai/output/_replication_pack.py,sha256=HIk8Y5RUGvturedmoXFhi6KwTX4MyrUkOHJ8JjW6PEQ,28392
statspai/output/_replication_verify.py,sha256=cFUel56ZtChtWegZ1dZgy5yYT1YG9OcdbRgznsmRb-s,11893
statspai/output/_repro.py,sha256=EvfUxpfrb5ZE7pyL-pwke--P9DIvGlwtUWnWlNo7Hk8,5279
statspai/output/collection.py,sha256=BhFxxRRJ8yGIMrJxicqhOP4vOmxMpJ3eP-pRfxu8Uh4,30279
statspai/output/estimates.py,sha256=x5PK7oy1V8aptZnvha-qUoiq7c-kp0Alp73Q6Im7BvE,23028
statspai/output/mean_comparison.py,sha256=2RXSdtMz9SFrN6lWY0My33DaKJLUIA7Tfb6jlBshKmY,24007
statspai/output/modelsummary.py,sha256=OemZN_wPhNlPh6wZaF9jYkgYyimhcg0f5GsrvTN24Lg,21204
statspai/output/outreg2.py,sha256=-rpeJbzE1WxPfZjKtcUwmD5K3Vx8pj0Ov7ICoNxd9rc,13098
statspai/output/paper_tables.py,sha256=Mv15bhKwUvTdFNylKcoJZ0NWNEhEo2xIz1ug_0VXipE,14508
statspai/output/regression_table.py,sha256=w9iF-PPSEpF-LhxoPJHI84XTX304TYPljEgd2tKNFJg,168049
statspai/output/sumstats.py,sha256=knU9jAmMxbQJMQHSG1UX2zfYm7Nf9q0oBTQZ3jNmpLg,21088
statspai/output/tab.py,sha256=jUVeJcrH6M585yg5npYl6wVbVD_vEgcxB1d421DyDM0,14214
statspai/panel/__init__.py,sha256=mtLDQmzXG4uzJhmXaWApPoplWXrUu3x8CiBCxmtu-Rw,11650
statspai/panel/_cre.py,sha256=fy2V0JrZlfBB9eCdMOCfamxyyqwoxnHQBbHF4SMEK7Y,7362
statspai/panel/_hdfe_iv.py,sha256=9VBtb6HCHq4Zx838cissEt_y2hhJyYr6SRJCDv1ihno,12373
statspai/panel/_hdfe_kernels.py,sha256=hEAcP3iR82zRSCkiSTiXwbhk6rZ3q7YHyqM1OFlN1O0,12636
statspai/panel/_re_mle.py,sha256=gglxdkUQUNdcYv4b-JNUdbIUc573Shjb8-ZFuQC84Bs,7314
statspai/panel/_ssc.py,sha256=dIX1AgwTPywO_kkYQOoDf07CvC4gXaFok677Z-QddHo,12767
statspai/panel/_wild_fe.py,sha256=pV67oI58UAp1RwjEPbcQMZKlUR1Ubi6ND7-iQz_gGNQ,6947
statspai/panel/fama_macbeth.py,sha256=6KqWUgSUnHzw94KSgcf8GYLUmXMkw3fcYtlJKl9kUl0,8849
statspai/panel/feols.py,sha256=y-X_IBUxSQbUnR1hn5tkfTOllBUHh6DQrLGXcJehou8,62114
statspai/panel/hausman_taylor.py,sha256=8no5QGjEci7MyCMgsHAEcewWPkydTTSGbLfy03qGJiw,17242
statspai/panel/hdfe.py,sha256=JlUcrY2Ydjke2_v9TMPvs3UPLpgWB2iheFQAXgBKO3c,56853
statspai/panel/hdfe_rust.py,sha256=0tpPZRBjTJpYSiSe5FOdrux061ThK5_GfHi1SqDyl3k,3148
statspai/panel/interactive_fe.py,sha256=Z6hGI7_AFr-oE4XRTvanhIqZ-U1wzGW_69JRwqwh6T8,9926
statspai/panel/panel_binary.py,sha256=srA5BBrK_4S5jZNg2eCvPpCVVUa1AbFr32juHktc7ls,23731
statspai/panel/panel_diagnostics.py,sha256=t1gc9fnDoEDpzttWAjj9AONfuwr9tPGSI-Fl9tD05MA,13004
statspai/panel/panel_fgls.py,sha256=PPaWtud7VJ8UD-osqvw8MRSXajOmNyaDLDYh-t9M2T4,9350
statspai/panel/panel_plots.py,sha256=G_V08R4ho7n1xpFDGSjtMeC2tgYpDtWAZn02n-oHcpk,21210
statspai/panel/panel_reg.py,sha256=bZbnOZipqoR2vEk7eoU1Qm_OgqU3ip0ynfZXhvVS12Y,92482
statspai/panel/unit_root.py,sha256=tJ0zn5qA8TJLiT93WvKM7vUpF02rK3CZjb0y6-bflbQ,26924
statspai/panel/xt_tools.py,sha256=T0KHi5oB4s5SLGNGO1GXmGzytbM6GZIP42kfVstqXgc,21327
statspai/plots/__init__.py,sha256=ynUc2zBZ2kiGh_enRj3fQS1qWDA7249XPz3DNMmsDzQ,4470
statspai/plots/_jupyter_editor.py,sha256=2LLRDY1oMjdSm3sE5v01opoOzg41chNkZZpnow5GMb4,57720
statspai/plots/_script_editor.py,sha256=fEHj1c9fbswFcttmb6UeQUwRm7zdPkEh-fz4v40u5b4,6660
statspai/plots/binscatter.py,sha256=tVC1Fj74_nv9xrfIdwtPpGBW7_Cp5rr_6O_FKUMartw,14834
statspai/plots/counterfactual.py,sha256=vzwZFDqEDRrcF5sQojbAC_pMxO-2o8HLvA30MzTHwSY,12202
statspai/plots/interactive.py,sha256=V8d33cEIy5gtZvQ49nIPwG4Qydy2deP_z2DaWy9iu10,86062
statspai/plots/themes.py,sha256=uW6i1Q0yaUWCCk06bbAzQrhbQxs1lsQf72upZnYvc18,24628
statspai/policy_learning/__init__.py,sha256=hosWSmPFa4PD6bRguH1kr0Cn3CCGOqbiheslxo6RkVY,1216
statspai/policy_learning/_exact_tree.py,sha256=kU8thev0Q8tauxMr6pbJyskj5scK3Y9Ry6tGJrLal7Q,12518
statspai/policy_learning/ope.py,sha256=NfQxRyrViTtO1kE-jwV7GVF1YlY4W4Yml6rR1bANxPU,17521
statspai/policy_learning/policy_tree.py,sha256=LoPFD3elRj7FdiYy3hE0Ox8EaE3u3OrUmJlWp91EMFg,38834
statspai/policy_learning/targeting.py,sha256=jGAC0ya8wtj5vf2TwZyT-ZKFh36yVFyfyVB08nkVVIk,5128
statspai/postestimation/__init__.py,sha256=vEkUL93n3gUB1nMDBoCwujci8nlWotyiagjNbvnl8hU,1010
statspai/postestimation/_covariance.py,sha256=wX38K-jqQtHxOogBr4-tjZ-787DfDFoTmGaS7cC6Sy4,6162
statspai/postestimation/_design.py,sha256=BLsxjsf63Gs5UUnwZyVGY_gALArdmNfVGJ4bYgrguMA,13483
statspai/postestimation/contract.py,sha256=sjHCrIn3Q6uXDBS789T4BSgX7-HkvXsXWnMj0F4h_V4,6756
statspai/postestimation/hypothesis.py,sha256=l9pDUCUHyjyJikVy8L4cxuoiBMq0gCbWLWcqjND0c6k,23090
statspai/postestimation/margins.py,sha256=66-WG7N3mdync8hsNf2bGNXpQtjp4HDkDODOYzGs52Q,66564
statspai/postestimation/nlcom.py,sha256=yVZ0fbQdHJe-MvWK7bglDjd1mYPT5skW6MhRaFpElLg,9506
statspai/power/__init__.py,sha256=S_-K8AB1yRPdJ07xc9n2oTqhndUerGmFC1oItlGu100,955
statspai/power/design_analysis.py,sha256=aPD61aZeipttcZiv7zVdpYuuQDiD9_ZH9Ie1X_pvdHY,9455
statspai/power/power.py,sha256=Cbq6OBnqWYzrJhEyo5lQR222BAjWuNTXmBpdXUvM0RI,35004
statspai/power/study_designs.py,sha256=bPV09wuFri-JOEZ4bYgW_2meVWPa9Jn9BoymHlZw7V0,13258
statspai/power/ttest_power.py,sha256=fPjF1wcR6bhEcHysQfe8XIXAQl_vfL0w0ctlIwBJNTY,10376
statspai/principal_strat/__init__.py,sha256=6cza44R58jb9IL7J7beR32qMjGQE651_e6RKVjub5cE,1016
statspai/principal_strat/principal_strat.py,sha256=G8clVGYt17plrHQ_rhybxnKwhxmcKYHIjBNwipWfMw4,44704
statspai/proximal/__init__.py,sha256=_ftkOhWGb4EuyNjRJDdw_OUk0OP_u5-n0Q1ZX_oW5Ns,1188
statspai/proximal/bidirectional.py,sha256=_L6axBRT_TZjfAmp0ZGsbRcX6dLQ3UpRswybEMhC4TY,7317
statspai/proximal/fortified.py,sha256=WJ4FLPewKrGwXEo8TGj9qKGJ9m82gUszx-CSCL4YcOo,7557
statspai/proximal/mtp.py,sha256=1irhYQ093mu_5YJg-5MqPeE70Mk8j0JlARTNqA_Am1E,5747
statspai/proximal/negative_controls.py,sha256=35bHb2sqQP_DI40uvEMHVGOvBKysVbTaNFYfF8QiZdA,13555
statspai/proximal/p2sls.py,sha256=vCAurndwEQw0o1YUJfQd8odlUrGhp8ozt978CTpV3BY,16233
statspai/proximal/pci_regression.py,sha256=mpYVb6oaRFFN5fiblkn8DJDUPr2kqqQeiQPvqt7P9OM,10432
statspai/proximal/proxy_selector.py,sha256=9Afg03FEW2elGbGJX-gl5wbgWtoEO-94KYsx-tQccWk,8859
statspai/qte/__init__.py,sha256=p07l1JRjRR0eBc8xKMak7e6Y-llb0_7D71C0owrT7dw,1269
statspai/qte/_core.py,sha256=pGNQJgaJ0NmOnoCqka-8L3rrUjVamy0YSIZ3flYBsz4,20823
statspai/qte/_firpo.py,sha256=TjPggi5j3a7Vn_CObJw5f9nE9oRKCXQpZnkME38mHXg,7963
statspai/qte/beyond_average.py,sha256=TE-E8NsAdita4Zhj_WFXSLit-sJY1GdxRIdqLl1USoA,8426
statspai/qte/dist_iv.py,sha256=VQxgPKRaSpZGmLgaxuhUGKhStCcB2uPYVefWXrWxJ9w,18030
statspai/qte/distributional.py,sha256=ZgdDu7N77r9Qmmq9TkleUwbxuTERsjCQknOwWbx10XA,21660
statspai/qte/hd_panel.py,sha256=DxibpDs3OyTq9LWB62EreOlMMkYrZcDJmKb7wxY3Rqo,19060
statspai/qte/panel_qtet.py,sha256=yvk-ZTkgvFoz4UAS8oLlVevDTEjIekkXIujB9_eyruM,17565
statspai/qte/qte.py,sha256=c_kYKJfsPUsu47Y3zsNz2ye_UoRmpX2DN8R4iD7oXXc,33228
statspai/quasi/__init__.py,sha256=Ct58yYXaspL8mHwh9H1ZgmFtEQsZXtahJzamd1scsTg,501
statspai/quasi/ancova.py,sha256=ts4KJN9D1bZo0wTipSG1rx_AvmmNFvMzCbZl3jsnS6o,10957
statspai/question/__init__.py,sha256=3faIst1XL64akg4ob6OnrSBTbDAZw2CuMm2udYPLv24,1481
statspai/question/preregister.py,sha256=rSVRr8Q3gyBHNVrDeFZ6FnaE77HJHgVM5KEw4qnCYPQ,9968
statspai/question/question.py,sha256=oj6LQUispqv-f2MVdW2-L_dy12SVzjbqPTO5dC_I6HU,65697
statspai/rd/__init__.py,sha256=5-u76nRakRtf5PkfGrciEuxMzLXKiwmgsGKN4zeT1FM,18314
statspai/rd/_aliases.py,sha256=ERrljhAigcWrmct7wMvRIsb-RZ5fv_8fHocdJ8EGHrI,5261
statspai/rd/_cct_bandwidth.py,sha256=ybevBUKbFqXaEIkLs4D3xd64iksvx27oPQwqNT8N7RE,47403
statspai/rd/_core.py,sha256=PFrQUebkzxfN7ob_hF1228lV9h7hoh6e5e8y-XehJt4,13888
statspai/rd/_locrand_core.py,sha256=ijIpp7_V7XCABJ5U43HJiGJFs-wybJTZn73C1Sao37s,16471
statspai/rd/_rd2d_distance.py,sha256=5F4Ha-E6Oxis0kOCyTxa-UC1jSfGSPdgjLHvc-mf0pE,23609
statspai/rd/_rd2d_location.py,sha256=pnIYS0MphnLoE29gfH2SjNwpAZd3fw1NQidxx04D6Bk,45189
statspai/rd/_rd2d_plot.py,sha256=dK4-EmHO_XHgy7XhM6iFtBabvbwPBsIsFv5mNajWJWM,7443
statspai/rd/_rdhonest.py,sha256=9aJvvH0cuz-Ulkthwq8-EikHPV1rNUxylifvL42evcg,21167
statspai/rd/_rdplot_core.py,sha256=hZWdlONY3nsjYWwgK43onalVv99SwE5w1T-bTCcCyUY,21019
statspai/rd/bandwidth.py,sha256=bekhpawb7syUeNv1mQJdO3PSrffzTPnvnHcd591_knA,14631
statspai/rd/bayes_hte.py,sha256=YJ0mKE6FXD5aa16v2piUEMTv9Qu4SW4SakDvU279w5g,6979
statspai/rd/bias_aware.py,sha256=do3KLX0H6EBC3nizEtpbZ6JRvjaWCdj2h0D_nV7IyZo,20770
statspai/rd/dashboard.py,sha256=1JqQVs4t3zwoNo7BMzkg6a6CNXk9O6S1Vsp5elPX1UE,21132
statspai/rd/diagnostics.py,sha256=PQSZlaAqhW1f-bSu3vlcEetEac-TVbMuF0fReAuTUyY,32299
statspai/rd/diff_in_disc.py,sha256=btZBAQVtpGr9FU45ruJrBdkuhKlxcWbsVth4A_PqAD0,7707
statspai/rd/distribution_valued.py,sha256=OwcHIa9Wk5BHrEdhwjDpVvuO2nf3n8i63ClvlbcubA4,10484
statspai/rd/distributional_design.py,sha256=roVVtXJ6RbbA9qGjgpv9dC32gwFYaiAd4awKQg0mnKo,4713
statspai/rd/extrapolate.py,sha256=Fmzy8_eAv2Omxn09OUPLhPIvL_pDabmrroULUNiNsks,44484
statspai/rd/honest_ci.py,sha256=M811NC485oCRh5vLm1txry9agQIWCaWzNoY9-37BaCY,11698
statspai/rd/hte.py,sha256=pCQSyTtwSrjl4-ztdXcUAnle1x7pMpkbVOmIOcGTsOE,27502
statspai/rd/interference.py,sha256=Uf_MjpmFCSIlgYAofpYnPzKtqnd5nbAJDUDD2sOQyuo,6459
statspai/rd/locrand.py,sha256=kpiKU_tN_nwIgIXSOSGI1SfFgZonpGxir3-XYfvl0IY,66873
statspai/rd/multi_score.py,sha256=9outtkNKT6Vn-Vxau-F852OKJ20IbQ89ozpqOsOqTps,6534
statspai/rd/optimized.py,sha256=kgWnkCBb0mz9oVtUW5pHVCZyiyCJQ-VZBSKf1uT3Nzc,26716
statspai/rd/rd2d.py,sha256=4bH-_y8HE1zJfHi65ZRA9vCtiTJbr0V7zlluumaZSCQ,42341
statspai/rd/rd_discrete.py,sha256=NhhIPRmI28bbO24UHJx5BGdcN0hyfCjYmCflMy8HZZU,10745
statspai/rd/rd_flex.py,sha256=5NHe5YNMASmf-asyatZmEhZSwvs39FwOu-LacCRy0TQ,14707
statspai/rd/rdit.py,sha256=yRCwyCXV7NHm-iP8326-bNV-nYaQXuvzZ6r-F_Qt6M8,16738
statspai/rd/rdmcplot.py,sha256=_94wwg6D4QELVK7JqdykXWx85SCnT_OeTyr9JXSu374,7211
statspai/rd/rdml.py,sha256=WUes_PIsBZ8rYvmbnhgbaRcToixnAGNN1giqKKIGtAk,44262
statspai/rd/rdmulti.py,sha256=M2IU2eprZ90Sgukkc4cBSBxRb2Xw1_SlXmhOWw0-0QA,37030
statspai/rd/rdpower.py,sha256=mdPuzabZkUw--o_xrjZiHO-1HSYStOhZEib9gCQmgbo,15564
statspai/rd/rdrobust.py,sha256=fLPxTTSCSwsMJi_-WNxLHrB9nWZE8FtZLVTFEWwi4-I,99192
statspai/rd/rkd.py,sha256=D5M0UZVzGr21ZSn3l7bfDLo5OC4mMy0pGDv6iGDHONc,19728
statspai/regression/__init__.py,sha256=CLFPpUXE6QFBlsHkSUzHA6UWVgrD07Si2g4sh-Madt4,973
statspai/regression/_gam_terms.py,sha256=_aFBOsPWOS2wXjR7n6r8N-m_IYZiBcHr9vyo5O0On4k,15697
statspai/regression/_heckman_ml.py,sha256=bHkQBSG1B0S4XrQ1KS_mDcC-HK1QrtZRLe6ZG9ZtE8Q,6814
statspai/regression/_limited_dep_result.py,sha256=bo7ZT3OaDTDgndEt_Qn1S_FmxOZWrLPxAP6DOicvaNQ,6263
statspai/regression/_ml_newton.py,sha256=ZYarEgRaSMISYzD8W3rOWgNblVE7sevXnikcU_u50Vg,11135
statspai/regression/_negbin.py,sha256=nC-PMfKTUL6x9tqMiQr2cxSZjqvCWcidR4pbRnwCE0w,8055
statspai/regression/_optim_helpers.py,sha256=U3mKT3iW23f7qKAUnTtBR75JSoM6iOVZIuKKa4LAkeA,12478
statspai/regression/_xtnbreg_hhg.py,sha256=pKf6hnFC8m2aQxX76LF128AQyekE6QpRmu8cnRYQbAI,8344
statspai/regression/advanced_iv.py,sha256=bI6hYWwmqEKzwrFUhI9cmCF2aVv492C2vFSjjAVfT24,28013
statspai/regression/boxcox.py,sha256=86G8oc0X3zP8yZixo6mcss9pHxhpqyzFtIVStvT8km8,11188
statspai/regression/cnsreg.py,sha256=D1PSxKBTf-bIEsBl4Ko5_Pnjo1H8nrf5qQg8wLIj644,12268
statspai/regression/count.py,sha256=gyYPVDghz2Bqg3CbU11bOpDfl7e7N9Xw4uCcNfOqsg0,127589
statspai/regression/et_count.py,sha256=l9xqSCUrZFXxMxPHFlY-kpWyYJ4Zis4B-JKej6dgtYc,11946
statspai/regression/fracreg.py,sha256=Mj9CiAmwwIEWg9goEqjoTGQePDKEK174lSH8kMywXdc,14165
statspai/regression/gam.py,sha256=VHZRvpVU141c8gajlpb_NU_eABIeVi29YMOPb3BHPgM,48608
statspai/regression/gee.py,sha256=eR3-w8qsMsUs6nxcq24p7eq2W-khu-XZs4D92cmAvDA,20607
statspai/regression/glm.py,sha256=sAaXoTx0MDCYytfOeT6emtj5TNesYUl8biZ3b0JWasI,77897
statspai/regression/heckman.py,sha256=mKnsf2HCXyMk2iIlZxJaeks9PhDmZPozc35Vmd-rdTg,18696
statspai/regression/interflex.py,sha256=27GDZtPYfJx_wII1UVHte07HfCji_OEJgz174DFg2GQ,35546
statspai/regression/iv.py,sha256=hvFsUXTCB98gcqcoBcgWlaikYbXB_iAnddnVJxgmcyI,135697
statspai/regression/iv_count.py,sha256=ZDtE1w9P7QmyEKcgYuq5uR4kmKOmYtfrY1QrGcifP7k,14376
statspai/regression/iv_limited.py,sha256=y-2hJ3UxFQmR3OUkuOv00fAqKgJrKQIQ3lzeRR--kZc,29919
statspai/regression/iv_quantile.py,sha256=_IbC6eA05Jvh7O4lfw7tNLxSDhXRyEcSB4_uE9x374k,17109
statspai/regression/logit_probit.py,sha256=_AdVmSKHsK3DcXGv2_hxCmLB0CTtRuju244-5LNwz8Y,46757
statspai/regression/mixed_logit.py,sha256=4ZLjInv1VZlsxYuFqtgbozQrPFeL0nx1gLInCOZJui8,29857
statspai/regression/model_average.py,sha256=RZq7rUwvEB-usxVV8S_JPVH8w0xXBV32w9kaoBqzuug,14206
statspai/regression/mprobit.py,sha256=sCCtFp1Jqhy1XUpIMjb_gcM3_XbeGG8HQHdSzOE2oiI,25136
statspai/regression/multinomial.py,sha256=UDq_2q6scqdUqf4nBQqkHX8os_zJxWElc-yGvQ9CVUU,50649
statspai/regression/nested_logit.py,sha256=LuvPem0IdA7RutzH0YPxPHGSMb-EM8JxzXGvY1b8UhM,14703
statspai/regression/nls.py,sha256=HmLMLBCzRH951ToVXoyUKMa_qjNXQ7KmHRrGsKRrJZ4,15450
statspai/regression/ols.py,sha256=rqff-9UtXnGynwIxZAWVZSmYe_D8PhGJquJUPReueac,98142
statspai/regression/prais.py,sha256=fOm0TZ6-Qlppzjg2BDAMajt6YcE32CDq2GdoKq-kQGc,11515
statspai/regression/quantile.py,sha256=Si9bfMuH-4u9aflDAv6DzKJ5ND0CdjybQnMaVrUILEk,33396
statspai/regression/ridge.py,sha256=Dhn4sS3aRvXpkVSpmynpIy3OiWaYdL5jq8aWlBlqASo,12437
statspai/regression/robreg.py,sha256=nPby-k_iwaQkTcHiy2FG97rQhfj2c3p9_6AExaMJX2s,30694
statspai/regression/rolling.py,sha256=ihARdHO9dcYYqmDWtksjbQ_OiZpwPezFEVWUI-jv6iM,7586
statspai/regression/scaling.py,sha256=JTEQNwsMP0XQWNxd118_9rdmfZIsyrT0ewvCYhHR3_Y,7292
statspai/regression/selection.py,sha256=hd8Uo09IDIRxgXoPzSY_yaHzaaTuNhWj6Zye89aczmA,26124
statspai/regression/sur.py,sha256=hvU5E8lt6V1gvEFL8vpzboKENj8cjTj44XXFh06nOWk,16320
statspai/regression/threshold.py,sha256=6A-PXCjzhy5cVqH0HH5-Phe5GvgnCiVbIZWGdohBW7M,25732
statspai/regression/tobit.py,sha256=kU2Nd-ujCd_wbgfCjJ41Ehy5lo706MrU6NVTx0xNn68,18433
statspai/regression/truncreg.py,sha256=Bz2J64ikCdeS5o1Y8wfuQX11KxbmGfvf4b0IFNn3crs,8191
statspai/regression/zeroinflated.py,sha256=BUQ0KYheWjsznuwCG4uNgtKGxN0eA_gi-3mqpReoCk4,42369
statspai/rlasso/__init__.py,sha256=z4PY9NxpyL4VRLXDSRe2A7D4FHeayLkIZtuWxGFDBWg,1900
statspai/rlasso/_core.py,sha256=v9O-AUNO2hUbTfqZyYA_yMDt7VBbpGqFl5QBbvZAlqM,24511
statspai/rlasso/_logit.py,sha256=2o2cRRSGDx3QFHHWEO-cdg5X5MbwDjsPDVJFXDFL1X4,16848
statspai/rlasso/effect.py,sha256=o6AF34Y8pd1Y5S9aGtAczsH29OE5YaXewLF4zb-sJdM,18226
statspai/rlasso/iv.py,sha256=-GoJ4turFD-lqzFdyjIYik_vszzNWeADIuhU8RWJe00,22178
statspai/rlasso/learner.py,sha256=H2sGj_bSdfcz_DeW2dmLILXh1QMRPCyQMVwAlKEWEQw,11458
statspai/rlasso/logit_effect.py,sha256=g5P7OeKkzckA7qCCSHWbkHPNO1embNyDQGAbCJBOfpY,9616
statspai/robustness/__init__.py,sha256=ujdeSOXq9wupeblbOG_JvSdNVPb_hd8_xy6Htz9orY4,1137
statspai/robustness/itcv.py,sha256=PuCs_FbbsH823OAO3imhCXvfo86fPDG180GgRYolaVw,8607
statspai/robustness/refute.py,sha256=_guf1AR-V4aS3aGGtp-7aPGy0_0TElXTkPnQWxBpMHI,18716
statspai/robustness/robustness_report.py,sha256=msMekXeoyZ1X3iPmKL6CoPIU9zD5qrKpjuAUOiBSvGI,17184
statspai/robustness/sensitivity_frontier.py,sha256=p9gguVMTPgWOoSG1k6frDGiD7M8MKMLoi8Nox6zRfZg,16822
statspai/robustness/spec_curve.py,sha256=-p6NYj6oY32XY8_X4nU2RZQwj00w2a0qJeOPcBhRGVw,27509
statspai/robustness/subgroup.py,sha256=70bEOEFZUhNwq0f7QrE1J41_OHA7f6IDi9Ir6Nl_Zmk,18953
statspai/robustness/unified_sensitivity.py,sha256=xT8Mozo6dmTIP8bMl4l_bVFlcFlveWwUG9e6MGXto_A,32217
statspai/schemas/agent_cards.json,sha256=o7wOdURrEsYcmFwl5Jq9gnRI3GvDL4viVTjiKgdOOWs,5749723
statspai/schemas/functions.json,sha256=UM6splT8rgtlXYYtsXUgnwHWQTP84OGmr49DbUwO7ms,2400223
statspai/schemas/index.json,sha256=ErQMUIhbaoemocsCS7LIurQgKdbPvxfuJzIwOMRsKXc,250
statspai/schemas/result.schema.json,sha256=vX7PPJcKTOsCr3232QHwlqFMfO_C9pMN5cB1JQ3W8Wo,4205
statspai/schemas/tools.json,sha256=gm0RRSV65pqHNc-DxUbXewG3fzwswspEC-DuguZfOus,1881834
statspai/selection/__init__.py,sha256=BuejMRS7p3JGMHxdrYvTD3psKRHxvaIrVaQiQFIjxNs,846
statspai/selection/best_subset.py,sha256=N8yAEtUaNM-VooUUZrNB0EH_79aAUVlic-b8TziMm3I,10050
statspai/selection/elastic_net.py,sha256=rnMGJ0qX_wRdTso1iL3RCDd83LezavjQHMSAnzwNedg,29767
statspai/selection/shrinkage.py,sha256=p7lgJeyQTD_-wf_CVEZERF8RPylZwxuU5MswyQEznLU,20381
statspai/selection/stepwise.py,sha256=ZOuLNqE8nSphzd7krnDIG7oadVq80RaT_jo4OPZMqcU,29502
statspai/smart/__init__.py,sha256=R0Ol23FS12cT5_vknRLavwGA3foCLd3RDLAg8g0u-Mo,3011
statspai/smart/_identification.py,sha256=TkAoyBy77RgYkwPVkrUcI0HBCPWQsblU5kD30jNCGUA,9339
statspai/smart/assumptions.py,sha256=jpDhx8ayDHEh3JnKl4kfg-neiBaAOyUclIhY_JGXATc,48969
statspai/smart/audit.py,sha256=GwYLiAPRqrMhI-HTNQ1ikJx8mmTHzoYYmFt96KrE7lo,51967
statspai/smart/benchmark.py,sha256=beZL4JA2aCj-8lRuOhsmiove-Za2tv5sq2oas32TorU,9582
statspai/smart/brief.py,sha256=1jB719t3mP9DLzbNnJWAbsOSJBJHV1zxZsnQVhNqU9Y,8722
statspai/smart/citations.py,sha256=ryqyXVKlUqt5bAz6RzmSr-iJ-8YgHO_sriAEhski0MU,18804
statspai/smart/compare.py,sha256=s28LJvw3_DAfupxg2JmZTZfsyUSM7k_DZk3KV-zKyeo,25748
statspai/smart/detect_design.py,sha256=vwTxbAM8YAyWsgbjbZ2YRZKabNwAFMIti_7DuRRj9qE,22075
statspai/smart/examples.py,sha256=Cw0Sgb8zL7V8avu00VBerdn2akEkWC6NaMcTuTdWPqQ,10997
statspai/smart/identification.py,sha256=LIZtK5w434bqPC3OUY32SjZssl4H8Nd-M3RxpzxGBSQ,36168
statspai/smart/intake.py,sha256=A7P5LqYv3PF3Sx0R8uNwoG5XOZKGSZIa1O2Y5N1J4J4,8450
statspai/smart/methods_appendix.py,sha256=syM9Y2Wzaia5L5vGRc9yqSC_vc-qRxiuooorat8jxvs,121053
statspai/smart/preflight.py,sha256=foUkEK2ZjSn1pqZO26PC6s2wA3-vB8WIYaQmM5p-4V4,26559
statspai/smart/publication.py,sha256=NpaITIQdaUwbCRFNIc8VprIHj6qFGnuxwNizCVl5HiI,13450
statspai/smart/recommend.py,sha256=VsYQSYtVQCvGSnsPBscH4umOQJ7yW93dTlv7DCc5s98,96630
statspai/smart/recommend_benchmark.py,sha256=NfqI6fmWsmSzXosl9pbxB7llDwMVarKc0NxJu4AoOjc,23381
statspai/smart/replicate.py,sha256=_mQBbGc6azOMR3c31ao4mhw5z5CqXmXJG0-YfbDBz3I,68287
statspai/smart/sensitivity.py,sha256=CpUdORrMWYYreOEPIReDEFVjiok1BrTHIIvhqzCXR8A,23340
statspai/smart/session.py,sha256=QzBSudBky6ZGY2f7_JPacV5rqHUnLg73UW3_4cYWv4I,8447
statspai/smart/verify.py,sha256=eAvzJnE0iuxIYuOgoQ234jZyhkTYxmFgSQg67MXJOMQ,18667
statspai/smart/data/recommend_corpus.yaml,sha256=m-usaPX0dbt_kz2vru__52xK9jVrm4lMS-LfQ25dffc,71616
statspai/spatial/__init__.py,sha256=J0DXaWB3ki7dbcklFU_F1JETXdR0udZjE5UZVZmlNHY,3381
statspai/spatial/did.py,sha256=pDQws6QM0qWcAT_waYwYahJz55hX_SCjaA2_ZkqSyDM,58514
statspai/spatial/iv.py,sha256=IbKgqZ1IgyjTXsO_eVdWs9GEjGDozvBKbO5JDfiUKhc,9228
statspai/spatial/utils.py,sha256=LfQXQ7g191J1FmoGXyZ-61-rQGc3UP9YCaQkoDIOqXw,12757
statspai/spatial/esda/__init__.py,sha256=TxgYkopsvp9zOXgOANP6Q5M2n2XD9wGjeeno5wVpyhU,363
statspai/spatial/esda/_base.py,sha256=pljPl9FPEzeYmGN8M-17loWFE2qybWkIfA6a_Q8q1n4,1574
statspai/spatial/esda/geary.py,sha256=T6Pw_-5gMQYr8pOeJw5vej7jgp9GEIdjM7UkBmIxeeU,5787
statspai/spatial/esda/getis_ord.py,sha256=qTsh7OE2DPHPQvJsTDKWfmvIjtugfFIFjSYQPr-9YPw,6450
statspai/spatial/esda/join_counts.py,sha256=PRTQj6x7vf8wq5al-7L1uNOC8rqSyTzG0NhYhtiQOl8,2974
statspai/spatial/esda/moran.py,sha256=2LxGI64G8AyJkkkdTtvQ3wKo0TOIs5iOOk3yZairCtE,7094
statspai/spatial/esda/plots.py,sha256=6tdJ3mRYU33v8yFBbJISdbQdXdXg6WizgzF4ReYtwns,3522
statspai/spatial/gwr/__init__.py,sha256=hvS-SVQI7lXqxQYArG6O7DYAilddUboBuldGK9lL4Us,481
statspai/spatial/gwr/bandwidth.py,sha256=w8AlGkTQvY23Ikvmk64R59vW2wvSN-4ubcAGigVc4dE,7206
statspai/spatial/gwr/gwr.py,sha256=o9tfTQUHZf0AFrVuHnlnyGAI3KT3ky0GuzXK8KjL5o4,11530
statspai/spatial/gwr/mgwr.py,sha256=KOe6wGO8Vptfj89UqDmSekuvqakjBFxQ2H3HbnPuswc,21108
statspai/spatial/models/__init__.py,sha256=XvGF23unxu-DWERAZ6v6V-GLkTuxq1c3TlMuYoOiTGg,466
statspai/spatial/models/_base.py,sha256=cQq_crFa2FwC3_18Fmhyb89qS1hAQT-ShCYDXlGwU4k,1104
statspai/spatial/models/_legacy.py,sha256=hqBxf-gszAYHnWAIg01DCB21hhv1t2M6axJCnTnfvGk,18306
statspai/spatial/models/_logdet.py,sha256=MjQzaj7zkJYffFSYZUAgldJUxqOSECUYb9atywZcF4s,1963
statspai/spatial/models/diagnostics.py,sha256=RdmvywPf1oDsYUOiiSDtNmV0DUKRIGd6X3U1Mak-aLQ,7275
statspai/spatial/models/gmm.py,sha256=mKUGaqnB6HYajcIZf5ZgVv-YAAk-fYhyO2RFSh6iyKM,18144
statspai/spatial/models/impacts.py,sha256=bCQYjyjvmsZwmqifERmj0mMkSRVsFqOnSLzGzh6qpUU,7093
statspai/spatial/models/ml.py,sha256=eFApyzkrV_0UNFEthSpMWQ3WZc-LZSZrDqz7rxNFjfs,28123
statspai/spatial/panel/__init__.py,sha256=Cmzm8Nk8DFyreFzDHEBu1PxH8u8eok7CpKt3DfRvgRk,182
statspai/spatial/panel/estimator.py,sha256=gfRmucixC1Me6o7PUsQDkr0BequY51VbpxxFUSLPobc,20243
statspai/spatial/weights/__init__.py,sha256=coS1yV8NQWPRh7t-k7m8kPoJ0Mc1fwLNg9M08CKnmyc,318
statspai/spatial/weights/block.py,sha256=NBMGonu_OZUAEHw-jKP16qamB24jIKRMPjCRHcUJkaA,1415
statspai/spatial/weights/contiguity.py,sha256=UepYnmOKtUAFLeccHWIiPRZSdjg73WZt-5fyk1hrsNY,3282
statspai/spatial/weights/core.py,sha256=d59yeIYlYVCes65sxA5FsaD14X9mQuBVvtr3j2NvUyI,6414
statspai/spatial/weights/distance.py,sha256=GpvR9cNFJUrZhMFrxyxxshtnK8eH2XMi5vx-YbQj8qM,7394
statspai/structural/__init__.py,sha256=n8cef8nQkgNNJwBCXAnXSeNhSCCyshRQC2YSlI5avFI,603
statspai/structural/_sem_engine.py,sha256=OED2vqMZ_Rwwi7ioAkH58aMAvdUsEiQ8kvFABQ9P1KU,32311
statspai/structural/_sem_missing.py,sha256=shgqIODSjb5AHGS6P0-apiMFSdrOhNxyM7TwJIQ5pc0,2394
statspai/structural/blp.py,sha256=JuTiFWotRRG8MQwwBoNFHyJBkSX9rPa0FMjgCvOYTkc,36791
statspai/structural/path_analysis.py,sha256=Fyk9fO3Vd5wGCEcjk2NVpmoiAP7Ej7vpoWsAjAqfjHo,21617
statspai/structural/production/__init__.py,sha256=UvI4Y-xR_s2IMx0j5oru3GOy9gLA5SobU7oYfaYeeN0,1141
statspai/structural/production/_core.py,sha256=C-AYEPNK25QCMxtO_svy97BeVELTQHRgTPHTxvhaK2E,13506
statspai/structural/production/_dispatcher.py,sha256=wPLqxa1VaT31mh5US-dA_TNHZDLqcr6ORQ0GnnAZYK8,6110
statspai/structural/production/_result.py,sha256=UWIbl16plpBF_LnFsjX4uZEaZaAtg5HX1eqo_fTEiVg,4838
statspai/structural/production/markup.py,sha256=Pe7AIIrCloullS8WMATehLiNLTb5Cl62XSHJhkFI5Z4,6702
statspai/structural/production/op_lp_acf.py,sha256=qNtNEIQvioJt2hMWS1yXEIb4qTB2ZY6hXc3JTH1B3Dw,36923
statspai/structural/production/wooldridge.py,sha256=vLVLPS2Cl2Edit_BEDwJbWprkMrdyDsrQpIh-Vb9KD4,18154
statspai/surrogate/__init__.py,sha256=WHT0IHQ1aQLB05d5MbRvyBodOB0leUrXuXNmB-sdwFM,1653
statspai/surrogate/index.py,sha256=WcTXyhRBQrlBD96Z_JjltK85HXNvusnYCzLzSGb15YM,36655
statspai/survey/__init__.py,sha256=bNlBBcHU37dQ_aAS74KqYKVVdLB_6WvAdUlThnJSkJA,1463
statspai/survey/calibration.py,sha256=xstiEzHntSn_k-vvA5gF1mQSKSpr2aQMSi7sm2RjZVQ,10578
statspai/survey/design.py,sha256=t80aFVuvox8b2xf2O2lBXoU7Kr7hbuMLgNGKKWcrH4s,18097
statspai/survey/estimators.py,sha256=KVycR_vEEvbFlI4yjjagxxIvwfBrxZxlbJsX-Vdb2Jk,25410
statspai/survey/poststrat.py,sha256=P_7zf6FA2Q4WSp9_9NjdZAGZ2j7Iv09Aaxl_cGirDSI,9108
statspai/survival/__init__.py,sha256=EMMg7iWWT_8Zc5L7sxJcLoohQqJ7K4U5oObtzB8qlUg,758
statspai/survival/aft.py,sha256=7HT6Z-x7LTZ-d-f-cq7z-_evLNzJzKEdO7EEmMqlp9I,8158
statspai/survival/causal_forest.py,sha256=Hcm4CCCjQKnw6uH_hn1UR09meTSKzE15pkpdgBb46aU,28837
statspai/survival/competing_risks.py,sha256=3wdTpRIT5wROaZyB7JhFHkvRRlnQ6jpqqG7OlXmdlGk,38375
statspai/survival/frailty.py,sha256=nY1Nbt-sWvDImwvLpjRA73U-KV9Q8-WCIASmhcVng-I,17996
statspai/survival/models.py,sha256=U21RG0A2fBzktB_9jBo-KUH88adTyWr5a615SSbpVos,66645
statspai/synth/__init__.py,sha256=cvUivmVxNQ1IBGWQLzAAytLUtS9DILMXTQjn3xCkAPs,6682
statspai/synth/_cite.py,sha256=O-jAyxVX33NqT2TI5ykKQwk_ZQOI2zJkk7b1WFeBq9I,1037
statspai/synth/_classic_report.py,sha256=hJwXFajBtmyFoIMHRcvvSjF4i_PqyR79mh_Xg-OWxq8,7966
statspai/synth/_core.py,sha256=Is-nFRflMeZwZUhJG11kOES7y803YIIAsSx4Hs9hkGc,48472
statspai/synth/_fect_cv.py,sha256=6BdV3iyYAdXuGRct7wMZ0ZQD-_Mh8J3Crc1uf41aiWg,24054
statspai/synth/_gsynth_multi.py,sha256=xuZrpfC7qfKhoDIiLfaLzXSb8RvrUNZ3RlPBefrQzoI,17820
statspai/synth/_rcm_kernels.py,sha256=zVpcUKn3Fqoh7pYRFjHDWNffuP_jD5QtuZi33yqHLMU,4130
statspai/synth/_scpi_inference.py,sha256=Pt8qCt-NnUaZ9kq1UnJwLkFfppftg-YktkdUQSVaTHk,18299
statspai/synth/_scpi_solvers.py,sha256=2dzyINAbejEO-SzVijuJ8i_cHQFWdB9sew1I0n6j9I0,24654
statspai/synth/_sdid_staggered.py,sha256=odcE7p-88-DBE-mqBT3nkyv5Lhj9CoMxfrvCGD7hIjk,23082
statspai/synth/augsynth.py,sha256=982axwAwDKXJPLCcE4DZYLVqJF5a_LzK1aZYYTWcdB0,22385
statspai/synth/bayesian.py,sha256=0qsu6KX4RBc09pLM721CAppO0hQAsGG9hs32v5Wg7pk,26781
statspai/synth/bsts.py,sha256=Uui4LF14HsBszKZ1oK8SZbgMqe4dRJPL3RyiiYfb4tA,40746
statspai/synth/cluster.py,sha256=LrntOQtbzL5lf9XDU5bUdHRCv4i8Se5FWbrM7wIZQGI,20733
statspai/synth/compare.py,sha256=c7Bm1-Kp2dEK_bkJ3p96rToQ6gu4sFUTULU_X1j2_yU,20012
statspai/synth/conformal.py,sha256=PkGWTTyf1dJ492ryrPeLFQok7hy1MjeSjbQmm7FbxP4,14709
statspai/synth/datasets.py,sha256=1LqFOjCugj3AcqwjAu0Ab9fbYTucj-cIMXv3QDUvI7I,14024
statspai/synth/demeaned.py,sha256=FIW_Pn4T6kOjkBJJFDve02DOzTu1ERUAnY2QTF3x8Bg,11515
statspai/synth/discos.py,sha256=PcXqpY3N8pbRAUFGPQRPd9KwBEOOhPmhuBoC0I_pkK4,53792
statspai/synth/experimental_design.py,sha256=XV6D8h3u4d5Wlwvf4gKI2wQP3FyUIpfkDHT9_gnrBEQ,26417
statspai/synth/exports.py,sha256=H8-6FsgfIhOaEK_U1hruDsrxKYn8DzdDAFIY0XfJmdA,31228
statspai/synth/fdid.py,sha256=YeSW6gcDwfwR4fMCmBbi3Ai8f1vxEC2Qtf3w-UZ5L2M,22223
statspai/synth/fect.py,sha256=YHlLk_sBWbq_COR7y2_7hMcSTy0vh5-lOm9Jc-qIYMI,44602
statspai/synth/gsynth.py,sha256=lTjw3fvsVxxtHmd_smBx9LDxggRZOgqFWij9unKLo9w,27429
statspai/synth/kernel.py,sha256=BGBKpMH0n4vIgtEt4eTgIzmcxL9F9Ab6C0FTTVmMJDc,22405
statspai/synth/mc.py,sha256=qbcD_tbdQej3dkKa0U6FahjFSzs7sdyiZKYKU79xots,18337
statspai/synth/multi_outcome.py,sha256=oLgnbnMhE9RyW1Pts0GFnOI57BT8pThzPtRCn7YJmS4,21035
statspai/synth/penscm.py,sha256=5kBEKQlrC-xBlO9bOdzjFlN1i1H2pmXTy2BldhA--Nc,23532
statspai/synth/plots.py,sha256=n6qj4iI_tSgeTXEbjXqmvmIvv4mfbc0KfmySFRmXlaw,50434
statspai/synth/power.py,sha256=CzuMzOUSRmw2a4hNMGl-mGMc85nNoBxok0XzP_iZMvw,19029
statspai/synth/rcm.py,sha256=jLOE0RwgJ5diCLCd_6-N0GeEwI57w4AohCt36_GcmQY,23064
statspai/synth/report.py,sha256=dm9Q3E7xJFfBXSLuRY86dLAiMWWFGElrv8fzH1GL0CU,42193
statspai/synth/robust.py,sha256=0lFOkfoSIRAtOe8SasxVVdU1MSwEomhZfw5hkuS1OyQ,13936
statspai/synth/scm.py,sha256=1N5XsvL0YdKhsCMT4sGLWzDMabMPTsB03DcjZ3d41CU,96269
statspai/synth/scpi.py,sha256=gJaZTHJsTX76plyKpfK5HsPip2oIdqTaczm-IcMgbXI,26217
statspai/synth/sdid.py,sha256=FHYLCN5twUYCbMb4qw_Lyr7XPeFlKg6nYFwKTKLbA44,65731
statspai/synth/sensitivity.py,sha256=7q_G8beJV8IXdxydqCeddUtDe7Pa0XTwkC2U9XI2DqA,38279
statspai/synth/sequential_sdid.py,sha256=CpYvzYRrXxac0MMEZf1AuvVGawXGDqGz2ue7YYrVkP8,12889
statspai/synth/sparse.py,sha256=0lhz7Dk8ArYWFuzd15RfEJK8ULG0PaITfTmkbo8aDAA,24070
statspai/synth/staggered.py,sha256=PCcJkPJLi4uVtvDYBKM7xR5HV4lzvWxzHa9OWrUJB1w,24674
statspai/synth/survival.py,sha256=b_wYzEw24zxf5O-TWgn_myPdnvNHM6mIgiw4M3QtH4s,11337
statspai/synth/ttest.py,sha256=XWk-L4YAqqQ1BsYvRr-5tttu9mj_NYYBFevF63rX1Ag,9089
statspai/target_trial/__init__.py,sha256=lNXhTneeUVFrNL8TjRp-Jypnx2gRmONbDS7kOM0O-_w,1586
statspai/target_trial/ccw.py,sha256=-Y7U-Ke2-yC_PhraKqPt3KOjocHCy1Axoamnei4Tfi8,7165
statspai/target_trial/ccw_internal.py,sha256=-OnhtOJqZ2ShKUu79K1__eRPQguctJbzlRsB-KDDa38,2138
statspai/target_trial/diagnostics.py,sha256=B3GCjFww-qIbubjCCHN75MYmNf9VGqoDy8Hdj8WnooY,2401
statspai/target_trial/emulate.py,sha256=gT1ETPj7vQ4oUQuAqlB_7CGyWVzP588zTAHn1k3dJKE,7078
statspai/target_trial/protocol.py,sha256=2EjmcDt1Ug0IdtIOlcbbZfpWC57BEGYj-DLjanE7l-8,6879
statspai/target_trial/report.py,sha256=op0KsYXAK2ouCNBH7URlLpJrzO4Y2c-eS63KD6I6sTM,23613
statspai/timeseries/__init__.py,sha256=_JKyc6xdBCGZC8GPP1NenXp1yzYsWnIf3C1jhxTAPxA,4578
statspai/timeseries/_arma_core.py,sha256=2XYnlKmRrFXeaqjWVfX-rXUVjuR2AXn5ilPLmkm25Is,5618
statspai/timeseries/_auto_arima.py,sha256=800_8KBFBKeClheJGuRHm0RTTlsBLCHzCZQtJHc4bbc,4304
statspai/timeseries/_break_tables.py,sha256=Hpq5BVhorINLWPNgk5A_8zmnGlH1BbYjd4z-GgVFxMI,67499
statspai/timeseries/_critvals.py,sha256=WhuniKr7J5_tRJ4EgaoWxtFAs5O8tQtIlFwgXHw72fM,11605
statspai/timeseries/_ets.py,sha256=CtvoAMo_FsLjYU_oCK4geBAX2WpBZpGzo_Ki2X1Vg5c,43626
statspai/timeseries/_ets_core.py,sha256=PP32bMxpPJedQkmI-emZTLFVut2dl05EimyEaRxm7BY,16376
statspai/timeseries/_forecast_common.py,sha256=H_U-iKFfcWNkBql--BgDrGKviujPipn2KgNdwkAc-mE,13493
statspai/timeseries/_mswitch_core.py,sha256=2z_WFipkLRjN0NfY516THAo3nMNsIdAqXVWiEOKNhUg,24901
statspai/timeseries/_statespace_core.py,sha256=OH0MjH1ZqDJLwuh-rqRYegvqGP2fYYzrN7BBjTENOIY,16590
statspai/timeseries/_statespace_diffuse.py,sha256=K3Aqkz4lMVSuCgAz48Nmoz42ISEkHiOLHVTiDsnZfoY,14807
statspai/timeseries/_statespace_results.py,sha256=6_5MaoiBhHzqF31Axzv6th3xM-pzqiuaWF72UVkslBw,17484
statspai/timeseries/_tvp_var_core.py,sha256=ALgMIzCTynnZ-SZxT7vQwRf7w-BCUknKHUUt4IMR-mk,9165
statspai/timeseries/_tvp_var_results.py,sha256=q4dN1s6EYzhNqfxvC0c7lgWT9agkGyqoiCKbdJlvvcg,17548
statspai/timeseries/_tvp_var_sv_core.py,sha256=j8sxhwQZ5Ni8FxtviYhsLmw2wdy5fXp-M6N8Nmo-yM4,18197
statspai/timeseries/_tvp_var_sv_results.py,sha256=dpxyl81U7YmQeTbGMNciLjpN25ggoj9x2MgJZJ2xna8,22201
statspai/timeseries/_unit_root_pp_kpss.py,sha256=_TlIdCw7RwCDsaeC5914pYP7brAfrVi84PZv-GVTd7M,3083
statspai/timeseries/abnormal_returns.py,sha256=pEWSdYb43aXOytVcBFPG8hDVIbRWNRjiNRtAXjsZKoY,23838
statspai/timeseries/ardl.py,sha256=dwPcxYToJmB-z-4IMCeTYzNBCtiRAfgwF8XVOpgnxyU,37627
statspai/timeseries/arima.py,sha256=VTZGYkWAfHAHtIIlfDWLnPE5a5WbEMxsPNw29-neTxw,60055
statspai/timeseries/bagging.py,sha256=6HUQYQWjwtfeSxRo8FOv3D9TDg7JzF9kLDsqlwSuAdo,11587
statspai/timeseries/bds.py,sha256=ZBpA4bVvKbH3v1BDdkunxfDNbZFvUdAB5qMXGBH5aIc,7153
statspai/timeseries/beveridge_nelson.py,sha256=-PbNcv_JGn8fmYyt9qCrEWi2Yi59934wZClzzCwIYFw,25828
statspai/timeseries/bvar.py,sha256=dQEnCDRV-goVW83_HpcCdb1JUByh8xJgPweXu3wMI3A,12173
statspai/timeseries/chow.py,sha256=6gs9jtVXGYAYKsB5H2ze5HkIOwXFNCfkf-TcyodfqMQ,10389
statspai/timeseries/cointegration.py,sha256=3hJC_k0BT-0Wk-Zj_XCR41s4jWQC08_uT8HI_iEo-N4,19758
statspai/timeseries/corrgram.py,sha256=cxucCBPgRDhgS8R19te3c1SSMed_PK6rsySQvfXyAO0,6985
statspai/timeseries/dlm.py,sha256=sBlgRvF7-jB4CgVXt4I9NpEolOsEX2wGUw3hSacsjfE,25545
statspai/timeseries/forecast_accuracy.py,sha256=YvjN4TynBuyVdatOCgwyng29bVJ9NIWNL3zXRn8fCmQ,19714
statspai/timeseries/garch.py,sha256=9Chv7uelaffU0gVgnbd-MHis5tjr7HvqNpxbU2_S0_U,53893
statspai/timeseries/irf_bands.py,sha256=E73x0bKErVUrFn6KhnbpaI3quVAQ-L7o0xtD4BqLJsA,15038
statspai/timeseries/its.py,sha256=fNWH3mN4xHmLNaCx8ctd5ZjrE6WkbI56I0wRtR3zpH0,11670
statspai/timeseries/johansen_lrtest.py,sha256=DTKxVrzQTuwxWLsL_KW3MODaHVr3zjMq7Wx5y4hwKiM,16290
statspai/timeseries/local_projections.py,sha256=L3rzvmWQ_pU1IMB1x0i4-wU_w7abeDDgY3mZoq8Uq3Q,17367
statspai/timeseries/lrvar.py,sha256=B8mlPmOAFepUFQkTyK7GtXDAWAyIJq_k5VL4RExs4nQ,20844
statspai/timeseries/mswitch.py,sha256=HhPPbiRFfpP2d26k975KosQ2xGkzpet9VAEpWyUwBYE,28305
statspai/timeseries/mswitch_lrtest.py,sha256=kVCta8qA_91ZvbvBC3w6XOubg8oVlN-RBw0ulJFbnM8,27892
statspai/timeseries/reconcile.py,sha256=brg_fPH3Pqdr2ZdlVhJ-dZFyhCGviiUWalfMlKrVk_Y,31445
statspai/timeseries/simple_forecast.py,sha256=o8oTdNIaWT9VA8tfl1wlva48QBg7ThV9nN7QBdi0KuA,13542
statspai/timeseries/spectral.py,sha256=SYgoAsHV6c8mGTxyasdV3cC9iU1nnN8eRvSi1FwBxCo,27249
statspai/timeseries/statespace.py,sha256=i8nhJ1m5_MIl1lhDJ2jrULMKuqa90J2DV8h7cWAAZp0,26438
statspai/timeseries/stl.py,sha256=cGPPfJbxc5Jj0nSGTuSF1kHrIn4FZEXMGT3xIsIHZ_A,21914
statspai/timeseries/structural_break.py,sha256=eNYV3S0er-ubqenC5ricPipSGpgg2TDbnoFfocqogsM,40927
statspai/timeseries/svar.py,sha256=1kTrnpOS49Knal6HzVeh3Zl2apR58reOpcSyiVJkwjg,39739
statspai/timeseries/ts_features.py,sha256=GOZHlwMXXW3SMRKHdWQ9UHzZvFPqoq81KOcmnX1VMRw,9869
statspai/timeseries/ts_tools.py,sha256=hu8GtepADOKAvf2fiM57Cq9_paYpS17nGDzmPz3hPI8,19642
statspai/timeseries/tsfilter.py,sha256=P5cUQzCSeLFJvchfzwhAwng0PO4jh3_d3P81DVFvMFc,26257
statspai/timeseries/tvp_var.py,sha256=5Fi6rutwqbKQ1qutik1PuSAs_5ga8VSKMTD7L5uM4QU,20479
statspai/timeseries/tvp_var_sv.py,sha256=cCPmMfJ-fNw28Ise7968YDUtbo0yZVGbcvOzm28SunI,20752
statspai/timeseries/unit_root.py,sha256=O1f8olymg-5g-27MlnXVs35P_wNIrewwpT_tN1PN9UQ,20856
statspai/timeseries/var.py,sha256=2swRj93m4wKCBvZZu4J3zA-MwLNhfXFdx-Pt-zue6c0,32720
statspai/timeseries/var_diagnostics.py,sha256=TYfkIJYORuZUOSr84BT4jNdnlPY_DJ9RT5zSGBh3Arg,16033
statspai/timeseries/vecm.py,sha256=2t1zwLC75Q8vCgrI7wyrr04h-Bn8giw1f_C1P5Qo1fc,26368
statspai/timeseries/xcorr.py,sha256=Hm8w1M-IBxjPYPccSL15bSlBdvq3_N-EW31PRRQi5bA,17702
statspai/timeseries/zivot_andrews.py,sha256=gbD78xbfwwwmAw2ctugeiQmsZuCbxRCWnbn_o0dpOdU,20914
statspai/tmle/__init__.py,sha256=hmne29NBeljpCkCCL5mC3XgEKh3zI6oRofs423fTjeM,1297
statspai/tmle/_bootstrap.py,sha256=C8cIETAIiV2TMuHyc31Srwp5vOeK92OMwJuHP6eCoh4,6801
statspai/tmle/_targeting.py,sha256=17GguldRdwZtsXeEyOcJVat-oERf7WJ_2cF17GqQo6s,3755
statspai/tmle/collaborative.py,sha256=tG84-8InJ6IKnNVsI36pklOw6PDUn-Eknz7J0th2X0c,35637
statspai/tmle/hal_tmle.py,sha256=JGPK5N-PDsJsQ2AqDpEoK9SyfBt7XUFZmU9W3FfpuRM,27323
statspai/tmle/ltmle.py,sha256=x6wu-9PwweQsOYs1Lgpg4QZJFeNpHeQiQ52Zx4ARD40,27935
statspai/tmle/ltmle_survival.py,sha256=FxedU_2oSWE7O9ipO9dEY3zsc_7926xchwG-CgNZUCs,25518
statspai/tmle/super_learner.py,sha256=kb34EjDoutsS9Sfp9qT49BW_EqDhu2Fn8vL1nMIWy-0,23880
statspai/tmle/tmle.py,sha256=Yng001i94Ll6UEEySKZzqedRdArXh3umwct1mfNej9A,51432
statspai/transport/__init__.py,sha256=zHBt5d0xI8WZO5JOBI25YxzON3cKQ1hUKDSAZZ54yvw,1957
statspai/transport/evidence_synthesis.py,sha256=Jx29y2IFuvgKnSaOsgQ46K2mZYPWDRlMdOfn_56H4xA,9553
statspai/transport/generalize.py,sha256=hhZqYI5MW_oCOUrvfJTXvvOJhnsXf6GHt8nyyvLdkf4,1776
statspai/transport/identify.py,sha256=UIBQvNKV2i1T8w9oZ8W6rnOvBwak7sWSKolhtM8g7HM,6131
statspai/transport/weighting.py,sha256=ALE_mTXL9vkGR29-wN3DEueAL8yNAXrrOca6BiJxCAc,7574
statspai/utils/__init__.py,sha256=OTzJQ6RowGKxIslYi8O9tlmz3Dq0jaR90zkc5uJJaEg,1490
statspai/utils/_attrs.py,sha256=HwKoIHOiI_GQljdZ-acbH-oy0D6M50QswXpGR6zq6Vg,2193
statspai/utils/_dta_layout.py,sha256=txU-knYgpYwmYCFrBbBug1vc73C73O6HfipbnlET3WM,32748
statspai/utils/_rng.py,sha256=dGNqGQo5n-_a-jhZvpaLB4kmkqVthFbro91BQyDSuSc,4546
statspai/utils/_torch_device.py,sha256=epgN0gSt5zjWRwGov8u7dD7T5nFmKXijO7RMgo5vfDA,4876
statspai/utils/data_tools.py,sha256=dqfO-S96yrE4UZGbXtoDFrlJeJU2qDWZXdsWNoFII0w,12544
statspai/utils/dgp.py,sha256=ARcLKcM0InAx_R-lwCMGhpMZIlsvYOnMUoY7rTEp3Wg,31165
statspai/utils/egen.py,sha256=LRv6UZWIxISAheKVKYk5iRgr8kMeVF3ixZxSIHXF2A0,7758
statspai/utils/io.py,sha256=QSg2JK54Zd9_QQ9qU4V6JwO5QL0m-MegiQTCRKuIzDE,46714
statspai/utils/iv_helpers.py,sha256=rPtJFMVo2szY8lw_sHXmK39WLKMjKh9UOPgfUqBdyco,4890
statspai/utils/labels.py,sha256=lb7KHIBxC7CiWB4jI0lcZStGJHPpistT8d5kzNMaZI0,21021
statspai/workflow/__init__.py,sha256=W4YhE0vslUR3U0gLi4Z6rJhdyEmVYH1uLpJHuzp29nM,619
statspai/workflow/_degradation.py,sha256=bZm0Gm0LLpO9JJx5qRuj6ASQnahchsW1MyLRpXTL4m0,4384
statspai/workflow/_robustness.py,sha256=IK6xJTx1iqpvhk-qfQzizKwzQpL6wZopvuEtn4d1hEw,30021
statspai/workflow/causal_workflow.py,sha256=lribQBDo2tXXtsev-cAmy1TzVWVgdPFxcQI9BYiZUb8,57066
statspai/workflow/paper.py,sha256=v6uy3M4HUP4bd9XUuViaKc9GKVkFOSM7MAAzTc1rCJ8,80330
statspai-1.39.3.dist-info/licenses/LICENSE,sha256=CHffKxmdHd_lHXqamKGlK025eeOtEKIzuzuEi2kUjgw,1067
statspai-1.39.3.dist-info/licenses/THIRD_PARTY_NOTICES.md,sha256=sFEeh7EGRQJFwVLy2bg51RZZfFs7LjZVN4aoxBCkXn8,1591
statspai-1.39.3.dist-info/METADATA,sha256=CAR7OhGmVz4QVbm2whCi9pdEKFjX4eqim-91lCpOCeA,44192
statspai-1.39.3.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
statspai-1.39.3.dist-info/entry_points.txt,sha256=T9yZFK6fEqOq-pIPLFhi1upRakbo2eYgdesPAGyvn6I,93
statspai-1.39.3.dist-info/top_level.txt,sha256=91SFZ-J1oOaLlWejlICkkarG-xfUzbq6TA31CdQNhi4,9
statspai-1.39.3.dist-info/RECORD,,
