statspai/CITATION.cff,sha256=mGccDDJHQHAFDySNTO6DMpOpWSpvoAkGLaIKOcA_ATk,4057
statspai/__init__.py,sha256=Qrr72okqwStu586M30kP8n7lhvTyPnoob4w-I_F7n_o,84131
statspai/__init__.pyi,sha256=wi2jTYpkAQ7teHs9bnrBZ_sbPrc1ITHxqcB1CWSNqbE,62481
statspai/_agent_cards_extra.py,sha256=j9p8ZYa9sozlRD-EwnTs-cgc6TJFR1_Uzyu1WoKpiJQ,184073
statspai/_agent_docs.py,sha256=W9WlmUElp8HIaGi3cN69H5QlJGTFwMvwK2Mb3PSO7nY,5779
statspai/_aliases.py,sha256=Zld7K0TKi69RbGNsmQ34as4ubKFz6Ftdh1DWKGa4C-I,9082
statspai/_article_aliases.py,sha256=xN2ZJfqiGL9Up1F1vnkvVqWiYqgfzFx9QQBSc4akHGc,44084
statspai/_auto_estimators.py,sha256=LLrZ7euA-xgd-TWnJZVFh8JpgblBXKFdnj6JJh71ePA,27617
statspai/_baseline_cards.py,sha256=V3KkCp9Ezw0A1EefDF9Wy5obt42c7yOGaEyxXzHCn90,72984
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=1P3EQXVYgIl3LGverrAKteTAYJ9GamtdFK90YKs8eM8,91723
statspai/_function_cards.py,sha256=if_M0B-AHl8moQ5OVKoWmfdOxu3iyu-rcScRoPQnjwU,45980
statspai/_function_cards_estimators.py,sha256=iK5LVqDUzelqTSf7tLIhzQdERULO0HcdXPfIldW1rlE,35004
statspai/_house_style.py,sha256=cm1YL7-Lvc5iP2EDT5lcSZffmJmh2ynMGMWdm44GE7U,11249
statspai/_input_validation.py,sha256=8WTqZf2w6kHpsQ5Y2c5qfA94rJ-VNtSUt7kQg0UUrb4,3761
statspai/_optional_deps.py,sha256=hnFxYKP1muQDkJuWOubgX-cfRGhh2iJKv6gUizKdjXk,1917
statspai/_parity_index.json,sha256=Z8adgZI0ahcgUUjwh44zTWATnV9SOeiyRJiR1Pg_M-8,720563
statspai/_parity_taxonomy.py,sha256=8yBRv_ctgWoDnTSCuh_YG_9MCWty0_dkxCdbh2q7w1A,22506
statspai/_result_contract.py,sha256=IjJ1XAY_I-g4rVSZTsedOXGWl_7vj0vfButRH0AgC9E,21084
statspai/_result_serialize.py,sha256=QLi9zITmRfg-Cik72pUognSeVi6922e4_Mk43XjU2sI,25075
statspai/_routing.py,sha256=E5vS73jAYOQRrJWt6Z8SQPVABezn0Lp3Z4-iCff-BOg,44556
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=P9MgF2wDn1wvExeEtdjAeShxzdgG5JFM2w8tQVwFHUM,32008
statspai/paper.bib,sha256=oHSo35JewbkPdLUAXaUSrO3rpfvdRc06JHH7ihC90es,276587
statspai/parity.py,sha256=GwGMWaKdyj2KERsXxXetogasVP9pAg9p23fTW_xFJSo,14982
statspai/py.typed,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
statspai/registry.py,sha256=DqnXtOXZPXbQf_7gemWWDyKnVInESzgVUUBqwRAV3U8,1020749
statspai/result_card.py,sha256=nXq2rmWDpjRpAwnYNs6HQ775wGCsx7P44QchGIIyEfU,21389
statspai/validation.py,sha256=CtizqjSVQIbIF_vAwx1MN9CeRMYArvEHDOLTLZjrtCs,47228
statspai/validation_scope.py,sha256=EeVtSfazekqqDVb5Nw2BQreZOZLBZfp-SPKUC3F1VB4,131207
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=G_mXsz_jK2LcoB8q57N5uNZCra9GMcIpdC1K82RO26Y,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=PeELf1M3zi_Q6oZimTur_GTn2Pu6Ge1FzYAHqHTf8n8,94224
statspai/agent/_guides/choosing_did_estimator.md,sha256=y4vGIzZ3J8BKA4beaPl5DEUcbBejQhIZC3T9l1ZbIbA,30937
statspai/agent/_guides/choosing_dynamic_panel_estimator.md,sha256=1h0R_kmWjnrQVovmAUDOtQaBuan8H8gh-LFJGLPYmDE,14854
statspai/agent/_guides/choosing_iv_estimator.md,sha256=XsJ3TJ_obCqhVDnQ1WbLA6Hw66TczOW5SGZRqKd0Grw,13190
statspai/agent/_guides/choosing_matching_estimator.md,sha256=GdOFvRS7y4e1OFFm49g0U6caoSmMZHiruaEyPSvGE-U,7560
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=EaWHsI6u5yYJ201hUMF05rXOiKBh3p-eQ5q5Ggqll4g,8958
statspai/agent/_skill/SKILL.md,sha256=bbNR2f-c_JgLufrEu3fkczHgLq79kAtKFGi52sf55Tc,9881
statspai/agent/_skill/validate_api_claims.py,sha256=eHKTxMUSfJhDuPDMVTkW47mzAVToleHp68YD4s_0_XE,27291
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=LAMnT5B5HQkERaxRkVOk71WGN7xrkbidU41BvXvZAqo,13209
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=hlVQ96S_fyadOiZ4cor0hHbylo-PRgksmbLTQjP4hOM,7221
statspai/agent/_translation/_r.py,sha256=-RScvbZhoMBx1iArZDSM2xfBTQQu9GNrejMH4v2ZsCc,26665
statspai/agent/_translation/_stata.py,sha256=pWQPhMGbvIl56cbR2bNqhaHDJ-_9u3XdnMpuCEXzELw,139523
statspai/agent/_translation/_stata_datastep.py,sha256=soMckrKbSkQyb_aGXLYurCDO59IJLjdv1l2o2Zl4umg,31946
statspai/agent/_translation/_stata_design.py,sha256=_l2RzBnA6YWPECzBz8y8SkEoghhS2e_fInQ9fphY7k8,8224
statspai/agent/_translation/_stata_expr.py,sha256=-UV39ncO0XnvCr5ssa9I9soFk07P_izz9IvA4neCpL4,35155
statspai/agent/_translation/_stata_lexer.py,sha256=D-2KeqSIRrgD7GTx17kui86ArBLpPMtkfOsiX5ONXOY,7144
statspai/agent/_translation/_stata_options.py,sha256=Kr3YTZw8sXv_0WhG5yc5k7dAF2174ojiB6Kiexh2kP4,15369
statspai/agent/_translation/_stata_panel.py,sha256=4GsYdfvDbtfsplu34OZo2SED2KcvVaG_fadqp3qZtu0,4670
statspai/agent/_translation/_stata_postest.py,sha256=6oHGT3fAEvy1WDGhOSejFfPlTNC9Qibdwl4XrlzUcew,5769
statspai/agent/_translation/_stata_programs.py,sha256=lMS5AXGfYC7Jc_3_1WiuPpQ5MeumcFJroBqwgEdRvWQ,6121
statspai/agent/_translation/_stata_run.py,sha256=XVo96FTwmMLH52Kc-s8XPungXi1T2ctCBaC0YeTaVpQ,39278
statspai/agent/_translation/_stata_script.py,sha256=IrSw23zmCrmMXwk9UlASaZWckO-m-bsY8HsxmUjAcyM,8949
statspai/agent/_translation/_stata_session.py,sha256=SBb7eiGBYYCNZC3hlF_0IxQ2EXi20IUjaJESTFcJT0Y,30600
statspai/agent/_translation/_stata_ts.py,sha256=41cjfHdR86gBIwJ1kaKC1GxdY3Eg4ll7HUVXagmZYIM,9680
statspai/agent/_translation/_stata_tsops.py,sha256=WyCmPvvwXB__lwMaeKgPDPz12tEPuzzZyhQfAij6P44,5951
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=xzK6Ti-Fm-kf46MQL-ONStvHrlFzw8hrnLUy6YiCFts,13384
statspai/bartik/adao_correction.py,sha256=2fv3YcR6-CPrXEOXnHpVYAQhs8WAotgb8QLMeS6bhyk,19905
statspai/bartik/political.py,sha256=NgSal4VvKek6gBxva8NSUSJVRV80gW9dEcRVuC6pk7U,52216
statspai/bartik/rotemberg_summary.py,sha256=HmRTzXaxIGll5SGO-Hm-N3cr2Opi-oKzWo8ZBxwWKBg,12703
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=JE4MXPCaAqRr_y0rlQHVaqTCkY6qvmZYrw3Bo-26AD0,10572
statspai/bayes/hte_iv.py,sha256=cPWHabJ7stoS2ZLy2CZ4RO30y8g2H18haRNXeMSq4Pw,10786
statspai/bayes/its.py,sha256=bUs2NQJpHAzlzRZoVZn8X3l6gI9hKEgVvtL54N0gjyE,7508
statspai/bayes/iv.py,sha256=LnVfD3ASvPfv-sX5AekV9Pir4AHfvpiOYTvA1ZQ91Lc,11958
statspai/bayes/mte.py,sha256=JPL4-9Z_GJAYSYUS7qtHVFspq7WLAM4sTU4Hnqm1NKE,32971
statspai/bayes/policy_weights.py,sha256=B8bbvXUNh5JMO0MzyHn5LHbPKvwqM49N5-7Qesu0CTk,11807
statspai/bayes/rd.py,sha256=rdlDReCwzvQNn-hx_IfsMYL9ZCvY-hBxRxYzfDyLPLc,7346
statspai/bayes/synth.py,sha256=R50jTBcbrfwnqVZL2vOV1vvvs6FbYCn856ZcDUB2Lww,8477
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=8sskhaJCSQbHbFTaB4zIw-UpMgGqi9tHZ-107u-O2sU,32918
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=PYVZKuBjkQmYXUb0XeA4Q8ZNHrqMac20wceHY7dW_Ow,5499
statspai/causal_discovery/_viz.py,sha256=vUYHbWZNKO47L7C3o27n3F5eAwzm66Ft-ljKSG86c-U,10852
statspai/causal_discovery/dynotears.py,sha256=A1ormtJVBV8rISoJpE7ckZXXUNWQLqvkCzzuZ5SPvmo,12302
statspai/causal_discovery/fci.py,sha256=jbwSJF3_E5urH3qBQQbvCQtRp9bQLlD-gGp3q4gI84I,17989
statspai/causal_discovery/ges.py,sha256=hW9H7z8w1z3xnbwwFDcr0jcUP-pzILpbGzZ1p2iPow4,10016
statspai/causal_discovery/icp.py,sha256=_VllJXDJgQv9SiwTwv2BogQ34L0MZvGxG3x9tA9zYIk,10394
statspai/causal_discovery/lingam.py,sha256=cA1S33D--XPFSxpX7ccsB-_1iWZDJwx9c2u31ZoX5P4,10449
statspai/causal_discovery/lpcmci.py,sha256=4TLp1v0Dyyp9gtci-e1P7egAkVHba288yrqBNYrOFSw,11544
statspai/causal_discovery/notears.py,sha256=jgMCNa99Ihc9Q5Zd09b9zbGONcWsP29o5j-b_cJJo5s,14626
statspai/causal_discovery/pc.py,sha256=NuJtqf7S__ijfG7ZZPIl7b55UExOAeu3oPHWSTz33Dk,20487
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=wp0SeRdpK83cFV1j5DyYyai5UPmHlWENukj6EBeg3Ag,11643
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=4G5MMDHZ7PslFUDknreE3RsZN11_HuKXzuQwpqvV9J0,2154
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=z2YLC9oDLacXwq43ui3zB9KTrUI0BmRwZiadIydfZ7s,6990
statspai/conformal_causal/extended.py,sha256=DRsxMA3AzYeBpl9MNb3pPr7tjOxKu9lqGZG_53dd3_Q,14812
statspai/core/__init__.py,sha256=8Jk_tDMKgW7UdAXuYcXgzTP4DUgapURM6TmNJ9KOywg,199
statspai/core/_agent_summary.py,sha256=NhTbdW54bsI4FPCDqOpgj_x5EFNt9XpxHx4GmaXjuQE,49468
statspai/core/_bootstrap.py,sha256=9bqDaRciTaL-ibJJErrgSccHm-za_t7hj7ZoLncIvqA,3469
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/_validate.py,sha256=ICOt-WdxIjonStiNF9nVSk_wl1W_S3blH9reFw633Hc,7217
statspai/core/_vcov.py,sha256=yZdDXrZ6NJ2jJpjbbY3Yk0aDBjkSDD4hGfMssNS6tdI,11723
statspai/core/_vcov_spec.py,sha256=CiNsQizQgSPHeJu_QGwcUQk5nlTvQW6tasBwiAZW7h0,19869
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=mbCVycpUi87laJI6GYyG4cFfYIkqiW4emp2yDHAyJlE,225400
statspai/core/ssc_presets.py,sha256=j21cu-akpmSVRxI14fo0ADMFNzFrOhxeu7VjF0_WMyM,3115
statspai/core/utils.py,sha256=H0UsTILeTuCPQt4HwdsEmd8ppP0_6LCo6iLKFXW9y2E,11460
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=z1OCn_QvD_IG4mbyEL9Hz15i5TNHv7uSU4hJo58vT4Q,2311
statspai/dag/counterfactual.py,sha256=6GwTGlxv46Uph0pcZrOHdQo_SrTZkgfT6l4P_YimoDo,5448
statspai/dag/do_calculus.py,sha256=L0v8zajAn8V-ey7MXpYzRjqXf4vJptmJc4QXf49vY9o,9675
statspai/dag/graph.py,sha256=u3zKPa1PbhRT1HjfKvYFESpf-jRHYerF76fbG7era24,54158
statspai/dag/identification.py,sha256=zlALxgl2E4mEBcEpf3ckr65CvD2eKqYzKBcGwBokhOQ,18893
statspai/dag/llm_dag.py,sha256=XxXyygUqaRH75etS7oSyQXlcLv5bvNGFqzG-vn8UQYg,8629
statspai/dag/llm_evaluator.py,sha256=VWAHnnS0_JWvMHBNPfHRTgkO1R_uWJ6phcAgz3mYfuM,10743
statspai/dag/recommend.py,sha256=UPJ9oN_poOL6Oj9VTO0lXuh7IbcRMsPHdNsIloh49Lc,10506
statspai/dag/swig.py,sha256=sTTXoKE278JnnXy7Dojx19RyzWnJUytT0rw9ifuFXTI,4607
statspai/datasets/__init__.py,sha256=m98RLKdkCCrSlBGb5zyawY79Y_s_VtVlCqLXCN9qYdE,13766
statspai/datasets/_canonical.py,sha256=JUt4ufLOhA4zy2ZmzpCNZWXWrsKAlR-kAgxkBWk8_uA,59032
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/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=I_ydHrT72YYFqtse6PgfuZjkDI8OvLcl95xR0aBXRY0,1316
statspai/diagnostics/_estat_dynpanel.py,sha256=1AqYjgjCf8YMe7xzjLqy27KU81tRS8R86XO7sNh3b5k,7056
statspai/diagnostics/_estat_regression.py,sha256=HI9jHwGIGqHor0fmW4OzNRfPhKTnyLlNdiD3CQD04bk,21448
statspai/diagnostics/_oster.py,sha256=agDjeb97ke1bTzNnlfXScvPq48ARTGxU9Naa6Z0F1FE,14013
statspai/diagnostics/battery.py,sha256=ZzRmA10rutvibIruUrS0lV7e7b1pISZW5tIpQgLGTqM,45832
statspai/diagnostics/estat.py,sha256=Lzgf6ANBZcx_a7TlCqNoU2ujd-aWdcwC8cA_K3VA3nM,40900
statspai/diagnostics/evalue.py,sha256=fUYEzWiIhkhdyKbwx6ASTW8jsVsIMdCKa9gRRmaCBOo,25789
statspai/diagnostics/hausman.py,sha256=-1f_9wzZqVCMGB1wfLrvgrlLRze235uO3dvZm0_eMME,15306
statspai/diagnostics/late_test.py,sha256=fTQ0zO4oTjFa5GMbWfLX05k40XoVvYcLsVOICf087m4,12682
statspai/diagnostics/rddensity.py,sha256=RXAP-veH2QKiqZVJCjhJnskYBjHc2r6A4W1TDBrerG4,31310
statspai/diagnostics/rosenbaum.py,sha256=Aw2bir--V67H0q1XC44kFSBLfB74YUBx7__MEZZsMbI,13186
statspai/diagnostics/sensemakr.py,sha256=0QeQ4VkGRMS7EwdjmeNyeqGTgdQw44JhGXt5hJUihaI,9386
statspai/diagnostics/sensitivity.py,sha256=nSLU4f29F3TOuk2IqhxlDS51-9yhSJImfG0eToc9Vms,21924
statspai/diagnostics/tests.py,sha256=HK76hQxXO_hmyU0G98z5h_tPOs1Lq_Pg665tm4y_ZEo,11291
statspai/diagnostics/weak_iv.py,sha256=I2UYJe7B6t4cJLmNdR8iAlg_W9C3USZFKdvyd8t_3t4,57108
statspai/did/__init__.py,sha256=Bn-Ky79D2_rWuLSd0pOp0rsCZiwUvR1n15xZi3E3IRk,41829
statspai/did/_absorbing.py,sha256=6ftu4lPpI2RYsmyePc8cil9U_K2fAUChB7qGmvFuaUQ,6838
statspai/did/_arp.py,sha256=10YptLpqL6BtsROYVMx0fYc6etz6W5Ol5ODjc3FVk38,21768
statspai/did/_bjs_pretrends.py,sha256=9ARJXaMlI7IzTkytu4wn8zctFTZaCuRPcBwbXOtEQ48,18365
statspai/did/_bjs_variance.py,sha256=wCMB7fNkcYx-E-Z4ZjQ9DCDIhaQ97dnpWyqjCLzJOIQ,9246
statspai/did/_contdid.py,sha256=2aJKC6HOwBy23w8ZXZeYiODWReukwWgeeceRspOpSE8,9353
statspai/did/_core.py,sha256=dWa9mHXyihUQxLVB8bYXu-B4664ngIBRXnEXy6AyLc0,41931
statspai/did/_ddd_dr.py,sha256=JDNlN-gtEoVBz1oHPkmtNOWw-aCaJNyWCgXiy--bd6k,12454
statspai/did/_equivalence.py,sha256=5KEXG3zg3pTL5oaXI8odsk_6wPNGNowjYq1aUcfs5wY,12676
statspai/did/_etwfe_glm_design.py,sha256=pu7VXOs9J5H76xcRoZN4deTl7W6kLej_IdTz3Y3uK-A,16877
statspai/did/_etwfe_glm_emfx.py,sha256=2L2srnYnWwV_UJsfNvS4AefnQSUP6_NfL4ny9894Mm8,7935
statspai/did/_etwfe_glm_fit.py,sha256=E3qikGnKSPLHel3sm-zwCiLTrVmZpCD_5_3jfJtR9BE,7227
statspai/did/_etwfe_nonlinear.py,sha256=_BegnEprgXXPxMj9wfRDyos5zmobDvAJLzMEx3jhLv0,40987
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=U_UiYt-ejwDFhuI_5gcZ5sis_cNfFTdEHK5hzvI_ivU,7009
statspai/did/aggte.py,sha256=AmUt2BB_nvpdOE58H7o-tE3EbZkdp2kSTGG5PbIarEY,39995
statspai/did/analysis.py,sha256=jxu-z0LHBZPzfi7v6dOmwaDwsFOzMrK5Gm9Pii2U2gI,21980
statspai/did/bacon.py,sha256=fKQ8FVU8FlbpANghg3gNUQmb7O1D1ungJe4JF9cVRKQ,16432
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=5sPlak3ZnjuNK9KQim2ntQLXFERbp7u_uenw7S8SfvI,46747
statspai/did/callaway_santanna.py,sha256=8LIb5O-vojN3gxV_6CN3jBwZD24eihXsChfvoGQVPyA,128359
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=eVsGb6e2C7PyyfxFKhSra7T1n-E28CHksD9Wn3eCIuk,31643
statspai/did/cs_jackknife.py,sha256=kHQoBTDaPefjiskRv3C5I3QwgXToXBzDMDa0gmSYgyA,10967
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=MANtpAE-c1jEl5oL062aoceT-OwB7S6iyK1K4Ut1vN0,31942
statspai/did/did_had.py,sha256=AE7a3zrKqKHY4WfLGvylprRxEwyBB3OIcQZb_YoD5bo,26072
statspai/did/did_imputation.py,sha256=yYVZZtqw0gB68bc6JlUf78mlX9HvfzYRNbMfCXJ25LM,68037
statspai/did/did_multiplegt.py,sha256=uwvgLK0-w4vXTo9HD4AL1RW9cCyU_yoHfi68qgvVVkw,31261
statspai/did/did_multiplegt_dyn.py,sha256=DMFZnBUZ96BObxQjqaW90hSApEwrDSeaMctGFxpFgoo,65338
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=CmjAwy2JiE8AXLCMmwUouqsvj66qq3wuZdPHfNz87n0,17593
statspai/did/event_study.py,sha256=JHWRr-HmqA6irHMQh1yS-kjJYotJoxXUZBRHXJOBiAM,41239
statspai/did/few_treated.py,sha256=wTPjjK9480y4lYbeHa6HUOfBeWVAZ2EYunxr72KtVHc,22148
statspai/did/functional_form.py,sha256=5-mKKJX54LbclOMi-buVVz13KPukh6DLZdk67yPof_Q,38590
statspai/did/gardner_2s.py,sha256=7XMwtXy5P-m-GV3egsSnQmxHAiPo20G81wBbQDezT1A,31314
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=vgjsSZi5BR8b7nfAoJA_DKNCWTISEEz3LWeBCqgun_c,22936
statspai/did/misclassified.py,sha256=f-HOIip5jESXOCaiG9aGnMQpiuc0I4EHxrvV9krQjx8,12664
statspai/did/overlap_did.py,sha256=FjquAZ8-u2SoIvk96Aisv6DNLPZnTCjMSx4g_gDtcBI,12408
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=h9D_x_rzDyJS8XOWTeHmUnoVl352TJuZENZUDb1hyy4,30515
statspai/did/summary.py,sha256=WQu8as_NGdKmJuBeuZXQNsNPedGwah4bD6E4GyyV7ao,29975
statspai/did/sun_abraham.py,sha256=g2HMFJBanJSmII5lvXrX22q-d672drWdmRVCKK63oFE,39863
statspai/did/timevarying_covariates.py,sha256=px-4SNyUSTQxY5CFj9ZtwL0hLxzYDJSqzvQp7ehRCAc,24438
statspai/did/wooldridge_did.py,sha256=I5mEcJ3C5kXZwFrNNDqVorzeJmaJlkJ6CxaUysG7M_o,166397
statspai/did/xtevent.py,sha256=hz8CuAiO4yZ6WIL9qYa6dW_s81V9MO0HVCQkD7BAD7I,12951
statspai/dml/__init__.py,sha256=PQe1Eh5aMU__WBTR1DEaycnOHBNCQUHeJxD3LpOHgY0,1867
statspai/dml/_base.py,sha256=B4pkIhlhxgMqgJDQFpxzdn9ezi8p-5bS8FCMRV7VBf0,42179
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=aygaHferj3aUKbPfVyhzzX3uVY2JNeS_4htzbECKByY,17805
statspai/dml/double_ml.py,sha256=v8G9NBNcA7LVqerV5Gqn1RF0lCpzAN_p4q4kmYVyqTs,21010
statspai/dml/dynamic_dml.py,sha256=bgipucmZtZNHRjETsvh3oLJiyT0e7uiwu4rtGOS_VSg,30482
statspai/dml/iivm.py,sha256=aybGeIc83PGCPP9wlP1pyoJhcxBXoM9p-tZIX6ciwEY,15702
statspai/dml/irm.py,sha256=6ClHLSAGR-4x7d_go0u2lkBTCCW0QRTncIifTWTWKzE,17916
statspai/dml/model_averaging.py,sha256=Vkbwi30j2tt3iKb3Hf4U0Lpf7kC0pLI0e3urOeCkYWU,38073
statspai/dml/oof.py,sha256=tHVhugiI42_6aV5VC9OKfjHag9vUU64EdzPAmKJ2YFE,20275
statspai/dml/panel_dml.py,sha256=v6tgvp4H_y6Ec5iZ9BpSuxGzs_7d5GMsJP3s3o01kl8,32628
statspai/dml/pliv.py,sha256=Ynh763xgIQmHvw-jz44IKyHaEREngMGsIV4MmayB-ZA,8910
statspai/dml/plr.py,sha256=4WNRx_QgzPBW1XzEVMFjNmwQMRhy3S7YupfCKJbYYZo,9549
statspai/dose_response/__init__.py,sha256=pTGdkXR4MdlwJ-mz6yPFhNowbcSp9FYNcuKkurTnyoE,837
statspai/dose_response/gps.py,sha256=4JqLfQiGjlh5PfBaocY9PrTnuU8v3W1j13BgdH3Re4k,12292
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=QpwgwMzhb_2kMTKdMaKL4CRu2KggaqiOv1jU6J_VjYM,2524
statspai/epi/bradford_hill.py,sha256=E8RkYU5nhNWdTEqaQe9iOEo8eXSOlH0pTFTnZG4zgGs,6716
statspai/epi/diagnostic.py,sha256=tpOn-_cnnuPgBUGgf-jQEeg7G7SaWgwRxOfOSfOJtpA,20611
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=_IWSG8EIRMbur7KHXw7Ta_XgzTp_oAEnMjOrJ2Usj8c,585
statspai/experimental/attrition.py,sha256=p1lCKH3yyP5FAp2tbaD02v48zp5zma8fdKMfQohgjJw,12210
statspai/experimental/design.py,sha256=uyTvbh9pxXKnZh26DBrc5ZHzv-F1YpI4jcGaZ6TvD1o,19020
statspai/experimental/optimal.py,sha256=M9qAbbwxT_24seyCFnQzUey_SdARsxRR_FuwIbeNFLY,10803
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=yS-HTgDdGSnIZX2DRJVRO9N1u5qTBFgrf3zQPoI4o7w,23407
statspai/fast/fepois.py,sha256=0Tb2YcKQvJQCWCIIL2Y0qStvXBhkjixICeVfp4aQbUg,45545
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=CchQTSftCbsXKZXq4w8cU3sqPgYJv2Z5Yg45y11WLBM,63770
statspai/forest/__init__.py,sha256=kVO2jY5LAt1bkqNAY4wTYgctwLpE_wxFCiq0e-dBXZ8,3114
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=dw9UeVBzNSpPhED3BeFx-DSoGfQUsN_SO6rjMTyDSrc,24154
statspai/forest/_grf_fit.py,sha256=a3Uv476sL_tdULtzeBk5qONjjdkQJeTncTwBEOmgovQ,11194
statspai/forest/_grf_inference.py,sha256=cixvWVScdcIQfHXW76pnZEUBB1iHHc5WFXAXNpMENTQ,21794
statspai/forest/_panel_forest.py,sha256=9NYaQPBVTjAVWGEY00qFSMShjRMtkI6D-sMdovXDdrM,11541
statspai/forest/causal_forest.py,sha256=lHSpsZ35n2w3ltlQ5pUlKnzKdpdpbKAn_yc5kBW0q3o,100443
statspai/forest/forest_heterogeneity.py,sha256=4JsZoePeqDn4Rr8CzMfuSSIJoQPeE-rabKtuv4IKfP8,75678
statspai/forest/forest_inference.py,sha256=z5Po_n_MwlFI1G6W06kVsYJ2138DYma-Jb7Lm46f3CA,94462
statspai/forest/forest_tools.py,sha256=1OcZQxwJ2_z5NMFovJvd_UYriDbDs00oYZMbmT4Mvfo,10855
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/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=fkJQFqlK9F8bS-YkBML74CWYPkL2p1rVGTXhZmg2Pe4,11836
statspai/gformula/mc.py,sha256=Rs7Tg1YjUDuAj8TsVT6CuIj2rAWs2AIMLun1YLJm51U,22505
statspai/gmm/__init__.py,sha256=bTOa7oXK7VNVmLlTYlgz2Se_6OF4xv1L1geNZ-AMuHI,408
statspai/gmm/arellano_bond.py,sha256=esAHyQ8YMNj5QyU1BsCRBmOvI71Rmk5AZe8U53mSpb4,27301
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=2cXfiDE56lmRZh_VcdNHUn1tnfxIGiBjfdepg6mjYx0,8566
statspai/gmm/_dynpanel/_diagnostics.py,sha256=KY4Wklkh2pZsOH0Eld8-AASJMGluzUCUL1qVQjJvq1o,13480
statspai/gmm/_dynpanel/_estimate.py,sha256=lrg_lgUI1NlexaXUMaUJzviOAlLuEH06xUl_Q7Ll7Nc,9383
statspai/gmm/_dynpanel/_fit.py,sha256=BcEEQUStvhB6pYFP280Q2Rrj0ybz4euUnm2XimxTojg,27385
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=uD7aadUMo38x8nQcB7IBv_0_Z5JtRnYNUEYkSUJj21k,1721
statspai/inference/_dof.py,sha256=IGfXHLZsaUSUCmVoX9QDGakzuHMF6YNCeRpYEUe6VMU,3687
statspai/inference/_psd.py,sha256=JqgJBH_AAwAyB2LSOuKEJdQylwjr0nYP8684FNnBFBU,4985
statspai/inference/aipw.py,sha256=0NtTjP0u17ja_KpRvojeY9o08jEjebqOlbI4Tbg1s64,21456
statspai/inference/bootstrap.py,sha256=fyJAYKGhyTshRPzvw_CEB3PRtDVFvPidBH2u2uNV8-s,18476
statspai/inference/conley.py,sha256=yW8S6UxKp0fSyHECkZfKPqaVSXM1LUZHxz9FsGmnRus,36503
statspai/inference/difference_in_means.py,sha256=_g8wMS2LdlRHWQ9zvjv8dzjevpwPinowQNQ6b4CI7Og,15050
statspai/inference/front_door.py,sha256=lwim4VbuCP2i-Tyr9x7_f1vioBqXB6z7VpMhkFI4r98,20703
statspai/inference/g_computation.py,sha256=YfMX1Snqa8fVchOFpG7v0erGDWy863_-i5EwzmzcPek,13388
statspai/inference/ipw.py,sha256=mzbl9mDg4MfpaJZJQXJHvAR1Ubn05_0Z9l19z8fE2rY,16596
statspai/inference/iv_wild.py,sha256=V70ueBmDomo1bFSzY-uQPJkQMgeyahoH2qcRfdJtSe8,18457
statspai/inference/jackknife.py,sha256=TVDEMqOqZzh8W6zxWKo9h2HvJLK4vEldFZTWKED7dv8,51005
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=PUsivLARKq-sgMrUPMcziIQU0H7b7yDAKGnx19mYz20,44524
statspai/inference/suest.py,sha256=gBVsFC8THNRDHNefdpaRNozPZ1IEBrsoZgM3FodoSvw,7952
statspai/inference/ttest.py,sha256=LESS2w79vjaPboTa6p-hJcNgbCiNcoekR7o8AR3C7eA,13156
statspai/inference/twoway_cluster.py,sha256=gJ6Y2bkiNd1U8cbgWn-BHijby-Brv6agqUWGWMoPkvI,6676
statspai/inference/wild_bootstrap.py,sha256=96iQ4XGnh907NYSeJcQDqwWofXVR7i_JEB_ZKRtmf7w,16981
statspai/inference/wild_subcluster.py,sha256=nDSklZvQ9Ug3zGhUrd8qsmFfxcFUBB9h13VOdfjx7Vw,13247
statspai/interference/__init__.py,sha256=yZEHX1Bej4sgc2O2pcPG6tCJWMJVAKfOUyqLwPrGjHQ,1868
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=3hg3I6wt__szZERARL-q7pfDKlwKT4jAg7wuoIhU7Z0,14098
statspai/interference/orthogonal.py,sha256=gRDSluOYSqSeXcbdUSf3kvkGTuOB2AvGOtJygJQd1SE,13994
statspai/interference/peer_effects.py,sha256=O8oquQrDtTZenTQMAmfHT54fOjVq4vFdEw_Hp4YoBZk,8555
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=3EzKnVlvCa0FYzO68IphVkw2nTWq38OapjVVSGTaa_c,19151
statspai/iv/npiv.py,sha256=xssd6dvPuDK0r7c3otdi_2Az1OgMcg2x4JxE-da1KmA,9563
statspai/iv/plausibly_exogenous.py,sha256=h2w4B_4eF-luMTQZSMuMsaJDPEL8VBdv7ATepD0u-PU,10518
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=yAGcxQetkdj5oQF3gsFk0bYRTMX_rUjb65oj9No3oIs,13348
statspai/matching/_ai2016.py,sha256=vmoUeZ86ijCap9Vb10Mwc_UpbaQdny-HQhh2hOmd4VM,12509
statspai/matching/_matched_frame.py,sha256=cYYISKWQOUOpst0lRh_fmvwxAT4Jwqb1avxihya-fGk,30504
statspai/matching/_psmatch2_nn.py,sha256=hY5fdHfSxsCq6pjgOj99rOZFyrpdkgiwXpHCrF7MK4A,7693
statspai/matching/_pstest.py,sha256=JQLoiEZMSqDbAvyCNzpBLFnvqGXkoflyBiQJjDTcMpw,14057
statspai/matching/_stata_lpoly.py,sha256=APQKl8sk5nDw0XKPXD2s41bTb_WnJKBcPJe9FtuhQHY,4871
statspai/matching/_weight_modes.py,sha256=zxWr9fqwyeyiig-2cgoHVqV0Oha069zpP-GScblXUqw,9961
statspai/matching/cbps.py,sha256=POf--qa0QxyQIUEH9JamGY8VFI-q5f2_mBOtVYbaYE8,22181
statspai/matching/ebalance.py,sha256=dvxWyI9_wgDHFQoZ7J0gqU4II-1Famw1s3Dnfyfz448,18268
statspai/matching/genmatch.py,sha256=YVtOBNIbgzxgxwpqGLBOhDCaXkW7n5XkXsgoaJTaNWo,13864
statspai/matching/match.py,sha256=mqltDlBR2NH96IEsz-mteaTfNGSurpEE8Jz1b04v8WM,120726
statspai/matching/nnmatch.py,sha256=4JkSHCP6mgHPC43atGbhwspt1ic16IXmxTjTULY66tc,21165
statspai/matching/optimal.py,sha256=uAM2s-vDOySmltAA1ePxveXX-6kiCUKwW3TJX9IwTH8,19440
statspai/matching/overlap_weights.py,sha256=DYiclfWcOIkDdcMaqW_UbGCC3EKIT4nc3GMKIsLmMqw,8206
statspai/matching/ps_diagnostics.py,sha256=MHOuTQIluSI7ehWcRdGog5xx0bIPkimtF1jNuPxAjRY,38958
statspai/matching/psmatch2.py,sha256=ciJLIrbN_H3fQTPjp7JFCPEeU7BQEfpFPY_U-U1-NVA,55508
statspai/matching/sbw.py,sha256=PXuMVriVrsHaJ3vW5cpCpIGwGIa_uwr1HADFUIj_EHw,21198
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/mediation/__init__.py,sha256=Ad5OFZEc8PP5ENDQ2gTbAck50jF62-4P65OPAny6rcM,1175
statspai/mediation/_po_means.py,sha256=8-92TBvsqlQ9Yd1eWQRp4jJ3EAzzlNUB1v0KTugEDFo,13202
statspai/mediation/four_way.py,sha256=4Aa-9OZifSkJtbOsoGgqxm6_S_Q8ubUB4JDoNq5tdT4,9832
statspai/mediation/mediate.py,sha256=SMMupplvNLXaICA07SnF1rMlhRAOt2826HVLMEi-rzc,39902
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=1DJISc7iJsUYPitncSpLgbId_83m-Qb9CCz2r2WceN8,1836
statspai/metalearners/_cddf.py,sha256=hlsSC0wMsMB1SCEIqR6ihCOKWVt0xQUer94oJ5yYXEk,7859
statspai/metalearners/auto_cate.py,sha256=xxVOxhygrt9RKlQR02SKxSQ9q4yX9FPm4ehZsE_n-Q0,19813
statspai/metalearners/auto_cate_tuned.py,sha256=8QYH2mM4cUjZbE0Cjs1gyo9lKRFy2qCCRjvq9LL2ElE,26780
statspai/metalearners/cate_eval.py,sha256=5K1_xDsdqapukC4HNXFUrFKOeMHUALaXPLp-h_Y3aKU,11886
statspai/metalearners/cluster_cate.py,sha256=iAakM0zXKDKfENDylm4aD_99opdZUVmRMoA2XtE0RBM,4542
statspai/metalearners/diagnostics.py,sha256=w2XhSxoOsoUXZIcJ3uvkHX16uuMq4PCz-A5fOrh9TSg,32536
statspai/metalearners/focal.py,sha256=JFBiubCRJMcjW0sIR7TJF-OeyZX9_6W7bamLCXONlEs,6299
statspai/metalearners/metalearners.py,sha256=8ST7izQu1lsHz9mDj67iqvvc0TtpgRzdVkiAXonXBkY,49110
statspai/mht/__init__.py,sha256=002cJqKyHSQv3pFoDn9_sslh7ptOnbaLZbjP7L_48uY,1189
statspai/mht/romano_wolf.py,sha256=nauheHgDY6-XcsvRqtfQ8Cw81JvzITee-d44s1pB0Hc,27284
statspai/mht/westfall_young.py,sha256=FgiPwdi5eZoTqZH4Z2RxWR4g3XPa3QjaB567AfLw29g,8493
statspai/msm/__init__.py,sha256=rdAPLJPACBYk783KqakmFIXjlsFEwc8_iWGxHln0-ok,337
statspai/msm/msm.py,sha256=DtkIaOLXNcGS8PafVni1L3aU_HYl8UIUef3hba_fHWc,27270
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=OcVsXodsfSfzrP7hPOyorPRPZJif2Hjhl7CjmoVUZmU,7887
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/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=9a2hcJzmwVLu8KgT401oMHJ5VCd5NBNqCzYP0S_lyS0,37610
statspai/ope/__init__.py,sha256=pRCXcqHY46bFjlJB6JfxwDBbPJHZru3Jnyg3ovPeR48,1314
statspai/ope/estimators.py,sha256=mgrkzrIaIOHzLZCtivf4EMgcljZyhLV0aidR2nA8FNg,11304
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=jEcsV2rY28qW-_zWzIjjpwNcPrCG0upR3PDEgWEAErU,22841
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=e1KbwN4XfCTRnpPi6d_oHoEj53xABHrD_jSdiNTAwbs,15812
statspai/output/tab.py,sha256=4HupjI4Bq_V3pK-ic2ciCktvP5yuJka8lTL_GTPc9Rw,10244
statspai/panel/__init__.py,sha256=mtLDQmzXG4uzJhmXaWApPoplWXrUu3x8CiBCxmtu-Rw,11650
statspai/panel/_cre.py,sha256=W6QRMK8jOirItPVzDtPy30eUGSgXmFgtJAYoF9MD_Fc,4214
statspai/panel/_hdfe_iv.py,sha256=9VBtb6HCHq4Zx838cissEt_y2hhJyYr6SRJCDv1ihno,12373
statspai/panel/_hdfe_kernels.py,sha256=hEAcP3iR82zRSCkiSTiXwbhk6rZ3q7YHyqM1OFlN1O0,12636
statspai/panel/_re_mle.py,sha256=-gCAH_jVhe1Tk2moVsNs-CehDBVSdzIrGf45qxa6hQI,5804
statspai/panel/_ssc.py,sha256=dIX1AgwTPywO_kkYQOoDf07CvC4gXaFok677Z-QddHo,12767
statspai/panel/_wild_fe.py,sha256=pV67oI58UAp1RwjEPbcQMZKlUR1Ubi6ND7-iQz_gGNQ,6947
statspai/panel/feols.py,sha256=Yv90z-an4dTnzFcEkPonGP1E2rs1uSdMPtLg1Q05pug,58669
statspai/panel/hdfe.py,sha256=i3e4L7_bZQOBaFw4KaVthmtp0WiO0Y3nMkuZfyB4H3k,55939
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=mcsvpsRUKQ0mdkzkZ26n73virWao9mCNHSo2bjzn9PM,84373
statspai/panel/unit_root.py,sha256=jRlP0mncW0ARJ0B7odVwDz2Bpkr2XJmO7J1B1AdQzyI,26408
statspai/panel/xt_tools.py,sha256=j3LoVyL2sgKk9xmS4HloYvl90lKPX0MIE5arco-imBI,20221
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=1X7jFYOJxjpqJ_VOcnff5V9yeWiIjnOw2QcjG-CmGCs,16225
statspai/policy_learning/policy_tree.py,sha256=LoPFD3elRj7FdiYy3hE0Ox8EaE3u3OrUmJlWp91EMFg,38834
statspai/policy_learning/targeting.py,sha256=jGAC0ya8wtj5vf2TwZyT-ZKFh36yVFyfyVB08nkVVIk,5128
statspai/postestimation/__init__.py,sha256=ZWWyXWtrIXaPxi3jWQZ2GbFsbNsH-St5S6xiDuzLR9M,918
statspai/postestimation/_covariance.py,sha256=wX38K-jqQtHxOogBr4-tjZ-787DfDFoTmGaS7cC6Sy4,6162
statspai/postestimation/_design.py,sha256=rjfdpywqFM08lLSo6WctsbCPdp-NCmwMNDZKyIPg6FY,11857
statspai/postestimation/contract.py,sha256=sjHCrIn3Q6uXDBS789T4BSgX7-HkvXsXWnMj0F4h_V4,6756
statspai/postestimation/hypothesis.py,sha256=NOfzBXxrLVprNUcVq_xlsJWIy314NBaqv8c-_H2mkjQ,15138
statspai/postestimation/margins.py,sha256=7-0SKY5iF30Qf3K0vfd0Vf7Fb7LpytdWEy8vPYoqBp0,58291
statspai/power/__init__.py,sha256=FF-6YCaL6FnO_XpBhzVFW3H_MfBrcULnDjV04It8MB8,812
statspai/power/power.py,sha256=YeDxXQJnIs5fyNXQ-v8pqtdj6xvbJJN7z2mWHcVhr2U,34438
statspai/power/study_designs.py,sha256=bPV09wuFri-JOEZ4bYgW_2meVWPa9Jn9BoymHlZw7V0,13258
statspai/principal_strat/__init__.py,sha256=6cza44R58jb9IL7J7beR32qMjGQE651_e6RKVjub5cE,1016
statspai/principal_strat/principal_strat.py,sha256=N-Tgi1b3mwGNoT2pUlpc14hydftdmlOg3OVyEX6ahGI,43489
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=1NIcTDCk3ZnzuoLeddMHfyhuvdik6lTiRp5BbNSjEKw,9878
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=3_Y_Wa_WdCzdlsEaZXi4tvieqVBEn9nlloYdO8KdCps,17999
statspai/rd/_aliases.py,sha256=ERrljhAigcWrmct7wMvRIsb-RZ5fv_8fHocdJ8EGHrI,5261
statspai/rd/_cct_bandwidth.py,sha256=Ug8KPyu-zMeYzASe2hari7_ZuW2X_Sqldr33f-O0uk8,44766
statspai/rd/_core.py,sha256=PFrQUebkzxfN7ob_hF1228lV9h7hoh6e5e8y-XehJt4,13888
statspai/rd/_rd2d_distance.py,sha256=ye_LIva-1-PiHKUOUgxK2HPir24Eie4Y5CVjvPXnLGk,23573
statspai/rd/_rd2d_location.py,sha256=lgxSPdCJRP0CBDUDLIQGWf_fk2Pco0B-CtUogXn4Kb4,45023
statspai/rd/_rd2d_plot.py,sha256=dK4-EmHO_XHgy7XhM6iFtBabvbwPBsIsFv5mNajWJWM,7443
statspai/rd/_rdhonest.py,sha256=U7yN-MsYfn2iHCY2eba2kdMm45z1-sSNK6TAgMgBDYc,21119
statspai/rd/_rdplot_core.py,sha256=vc9i9OyJynO0t_aNWQcXQCxCFFwtNh2msj3F9lzpSco,20553
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=V9srPsJZgUHh1DIrpZkLaZeH8pg8zOwc05X_vEbZu44,20178
statspai/rd/hte.py,sha256=pCQSyTtwSrjl4-ztdXcUAnle1x7pMpkbVOmIOcGTsOE,27502
statspai/rd/interference.py,sha256=Uf_MjpmFCSIlgYAofpYnPzKtqnd5nbAJDUDD2sOQyuo,6459
statspai/rd/locrand.py,sha256=cm-7DZ6MBEXt1sHP88L9uHNwy6m819wx98oNY7VuSOY,41236
statspai/rd/multi_score.py,sha256=9outtkNKT6Vn-Vxau-F852OKJ20IbQ89ozpqOsOqTps,6534
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/rdml.py,sha256=WUes_PIsBZ8rYvmbnhgbaRcToixnAGNN1giqKKIGtAk,44262
statspai/rd/rdmulti.py,sha256=SqNA_C171-W4VJQenJ64DMeHcf5vzW2KpGUIDJFeYgk,22401
statspai/rd/rdpower.py,sha256=mdPuzabZkUw--o_xrjZiHO-1HSYStOhZEib9gCQmgbo,15564
statspai/rd/rdrobust.py,sha256=qK1ywpsKdOlXOeexHOhg5VyMlMt04LP_DPeHctr9-YE,92198
statspai/rd/rkd.py,sha256=D5M0UZVzGr21ZSn3l7bfDLo5OC4mMy0pGDv6iGDHONc,19728
statspai/regression/__init__.py,sha256=CLFPpUXE6QFBlsHkSUzHA6UWVgrD07Si2g4sh-Madt4,973
statspai/regression/_heckman_ml.py,sha256=bHkQBSG1B0S4XrQ1KS_mDcC-HK1QrtZRLe6ZG9ZtE8Q,6814
statspai/regression/_limited_dep_result.py,sha256=AQnfZuV0p6-FNpXtEqb7RD7uZqX4IohnjPuDpY9MjzE,4795
statspai/regression/_ml_newton.py,sha256=5WJqFxZLg4wyLvAYj-fITAf91lbFdk8kUvhaOCMy9m8,11087
statspai/regression/_negbin.py,sha256=nC-PMfKTUL6x9tqMiQr2cxSZjqvCWcidR4pbRnwCE0w,8055
statspai/regression/_optim_helpers.py,sha256=U3mKT3iW23f7qKAUnTtBR75JSoM6iOVZIuKKa4LAkeA,12478
statspai/regression/_xtnbreg_hhg.py,sha256=VD2GQmYhnixzjaR3q9ROXQIC44RC9O2Xx-i6bTZQnbY,8332
statspai/regression/advanced_iv.py,sha256=lld9nNp0FsAahsIqEydodC3URQFDcHynUlSMtm1EgQE,26157
statspai/regression/count.py,sha256=puCOxlPlzMaLpoF2QHqm0hcuN7O2Z5-skHG2sU9G93g,119739
statspai/regression/fracreg.py,sha256=Mj9CiAmwwIEWg9goEqjoTGQePDKEK174lSH8kMywXdc,14165
statspai/regression/glm.py,sha256=Hif2FQ3lPy7-lu-6KxJoCQ7n7kUePPZmhU0pENCNBP0,64448
statspai/regression/heckman.py,sha256=kV81vxhie5SC-gTuYH6VKPP73TV_TtpHKEMDMItuQpI,15221
statspai/regression/interflex.py,sha256=Y3ndWuMNR9Ca1HKE-Ygj1LUcWpjNwVV98ojhObBK85U,35169
statspai/regression/iv.py,sha256=BT8tElRzYLQPfkd0Nw2fEjSc17oiTWoB7VA4xGM6BpU,119679
statspai/regression/iv_quantile.py,sha256=_IbC6eA05Jvh7O4lfw7tNLxSDhXRyEcSB4_uE9x374k,17109
statspai/regression/logit_probit.py,sha256=vSgL5lzaurELHmFmLfhAdLIok6Jyu_NiAYCw160l-fs,38729
statspai/regression/mixed_logit.py,sha256=QgJCR66oqPcWeckTqLMTpkggT3RQ5LayRd9KcslQTpI,29642
statspai/regression/multinomial.py,sha256=3y7K3R07Knt8lq5svo5iVDieLWnzL2Zr3o-6XjnS-UM,43086
statspai/regression/ols.py,sha256=6g-JgHH8SVbBqSk4DEEG07o04EC26G5eZAscqMuNdzc,82865
statspai/regression/prais.py,sha256=fOm0TZ6-Qlppzjg2BDAMajt6YcE32CDq2GdoKq-kQGc,11515
statspai/regression/quantile.py,sha256=tjpTeigWKv-j0KzHeiH-6rZXXjncmawT3NVqdzViWYs,28420
statspai/regression/selection.py,sha256=hd8Uo09IDIRxgXoPzSY_yaHzaaTuNhWj6Zye89aczmA,26124
statspai/regression/sur.py,sha256=hvU5E8lt6V1gvEFL8vpzboKENj8cjTj44XXFh06nOWk,16320
statspai/regression/tobit.py,sha256=xUV-ttLn9VkzNtp01-TieXHbCqPESU_mBzKvkrAgjys,11041
statspai/regression/truncreg.py,sha256=GYS-QmyQs46af3VMglktvNZJigO8D_CpddEzSAOIQ6o,7632
statspai/regression/zeroinflated.py,sha256=vwE9Z9aVSFkBd7iXqpJ4aQWWCH1YiAYdNquQ5ZmJhKU,36580
statspai/rlasso/__init__.py,sha256=vFRifuOKaP2sR-L3U_CRa8iQBrNM1xd35YLETX_6uO8,1831
statspai/rlasso/_core.py,sha256=7ObpkwFEBP3ygbMSDsciIQW7SAqaxmQPYlJAx6orIzM,21092
statspai/rlasso/_logit.py,sha256=2o2cRRSGDx3QFHHWEO-cdg5X5MbwDjsPDVJFXDFL1X4,16848
statspai/rlasso/effect.py,sha256=b3YF8K7gKlBEi4lrzInIepLfmcinwlG4LQ03MHkClf0,10891
statspai/rlasso/iv.py,sha256=VW3eBNGZglUgi7ZUH60VKdyRm72vob-x0hJJaV20Mj4,19975
statspai/rlasso/learner.py,sha256=ed1ubdSByTRjXtD7R2WplMvchsrxWJqVtPE2zdUKWkQ,11323
statspai/rlasso/logit_effect.py,sha256=g5P7OeKkzckA7qCCSHWbkHPNO1embNyDQGAbCJBOfpY,9616
statspai/robustness/__init__.py,sha256=xIRzSBOseEIA_Scvcn2ZqBUspkRUISjcWOCHrk2yeGI,996
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=YeKWePFfWmM2lUNqTrGJqHPYg1eCkV7B4O2ZhigG9dw,4716271
statspai/schemas/functions.json,sha256=FdnhO9SBI8YsH_8uFKsHGMna3yDJTFOFnbv_Ro0J0LQ,1920162
statspai/schemas/index.json,sha256=i7VsLrYQ9Xd6yzhLSjXwOYKwdhX5e3kOPJZss4oU5HQ,249
statspai/schemas/result.schema.json,sha256=vX7PPJcKTOsCr3232QHwlqFMfO_C9pMN5cB1JQ3W8Wo,4205
statspai/schemas/tools.json,sha256=qlcoZdWpZelKx0LTkolBBIN2l8HublpSNPwYaa_oqEk,1542040
statspai/selection/__init__.py,sha256=9-Teept_nfr_HPGqVnYjxOAVqE2_rQkzY4UQdjubWJM,313
statspai/selection/stepwise.py,sha256=z6OZ7ubE7Pe9yTcGVcoq3EeB5QU9d3Mq8PR43nywR4w,28266
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=kSmI1d8cp4Ba6Vdzw3ruEJBhemCAP-BHdoOW6SXvDA8,51970
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=8nJ17Pjo69MBFS73Z9ldWTLkVEHohKwCAKlc_j3FkSQ,95412
statspai/smart/recommend_benchmark.py,sha256=NfqI6fmWsmSzXosl9pbxB7llDwMVarKc0NxJu4AoOjc,23381
statspai/smart/replicate.py,sha256=Cz7uaaPRWinFKCK5C2YaDgsiWx4mfFNWCj17Vj2Fxd0,68247
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=0VrwPluLzXV8wjevq28_KmKkl_tLYpdxfUSmFLxDndM,958
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=SJ5N_0-zDKzgaIleZX6QeUkP-kpglzPn8SV3L5QWtZM,495
statspai/structural/blp.py,sha256=JuTiFWotRRG8MQwwBoNFHyJBkSX9rPa0FMjgCvOYTkc,36791
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=dLHnGM89ZEMT4qAOqE4YJVpSXC_FGOB5YbNJxkrIEG4,1367
statspai/survey/calibration.py,sha256=xstiEzHntSn_k-vvA5gF1mQSKSpr2aQMSi7sm2RjZVQ,10578
statspai/survey/design.py,sha256=t80aFVuvox8b2xf2O2lBXoU7Kr7hbuMLgNGKKWcrH4s,18097
statspai/survey/estimators.py,sha256=szjP5Qe-giCn14aMuptZE0z10PtgYdS7IkKnLR2Oxno,24450
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=u2yOkpRluiqsf2j3NGYmqAT62kqVddnX4SPsZJKFxyI,49400
statspai/synth/__init__.py,sha256=nqauNZ9Rk3CYyExgDIV_oVAsWO6ESJBJS57GYW48C_U,6632
statspai/synth/_classic_report.py,sha256=hJwXFajBtmyFoIMHRcvvSjF4i_PqyR79mh_Xg-OWxq8,7966
statspai/synth/_core.py,sha256=UXjkI_xD-sChjGo0HE91Dij4TWEbfHL29w0pcd4YBJQ,43657
statspai/synth/_fect_cv.py,sha256=6BdV3iyYAdXuGRct7wMZ0ZQD-_Mh8J3Crc1uf41aiWg,24054
statspai/synth/_rcm_kernels.py,sha256=zVpcUKn3Fqoh7pYRFjHDWNffuP_jD5QtuZi33yqHLMU,4130
statspai/synth/_scpi_inference.py,sha256=BwwC_W6AuJwVDv-l4Hj6-6mL_E2FZ--ZDbZjfA4k97Q,18287
statspai/synth/_scpi_solvers.py,sha256=8Pj44J0cBGfiVaXYxbHY2IVH7dUChgt-S-siUQB31cY,24546
statspai/synth/_sdid_staggered.py,sha256=odcE7p-88-DBE-mqBT3nkyv5Lhj9CoMxfrvCGD7hIjk,23082
statspai/synth/augsynth.py,sha256=J1lClYSJeOaYrU92PcsRw29Pf1ClqfEj_bha7ZWiFQ8,22317
statspai/synth/bayesian.py,sha256=0qsu6KX4RBc09pLM721CAppO0hQAsGG9hs32v5Wg7pk,26781
statspai/synth/bsts.py,sha256=l0M1T-vMw8-PFh8eaS600xhs-1U0aRSJN9B1CFXjk1Y,39813
statspai/synth/cluster.py,sha256=GcOKB4Sc1JJ2oFiHTwY6St6-Wps4v59Tu3KkkVmaw0E,20636
statspai/synth/compare.py,sha256=6aeHPD-cKtlfszu9QmJOGvPvvxPPnp1kVpeeND1m5Ko,18787
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=5sN7aVFHUcjju8hrf6unX-tVLvdpz0tZE7L6K3jKWj0,16023
statspai/synth/exports.py,sha256=H8-6FsgfIhOaEK_U1hruDsrxKYn8DzdDAFIY0XfJmdA,31228
statspai/synth/fdid.py,sha256=GLMdwHuWq1h4uu6EY3IVxSXRM8r_FFi1taMyUXeRcWA,22130
statspai/synth/fect.py,sha256=cVvCBrDCdbOdZy9npX6BfQqH2hCifEut4xsLcozJiGU,39594
statspai/synth/gsynth.py,sha256=Ruy_K2hvHzUItjQzezGSMnPx5XnCb1zcTK8adbZDxZg,23833
statspai/synth/kernel.py,sha256=1J0fKPSbXT1yNgEsWt1ktMLPM3arsA7Tmf5JAMCtgB0,21854
statspai/synth/mc.py,sha256=qbcD_tbdQej3dkKa0U6FahjFSzs7sdyiZKYKU79xots,18337
statspai/synth/multi_outcome.py,sha256=oLgnbnMhE9RyW1Pts0GFnOI57BT8pThzPtRCn7YJmS4,21035
statspai/synth/penscm.py,sha256=b9xRoQXkIQMC_2gcYzsfTBQfLnPst9-D0uq9z6bJVt8,23463
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=V5SrM1hDB2kROByT3pWJfShKo13MIYVla05LWRRso6Y,87639
statspai/synth/scpi.py,sha256=oHnKQovQJogpLFusgImJv7DFRB9t0KtsBobYdvUqhZU,25625
statspai/synth/sdid.py,sha256=FHYLCN5twUYCbMb4qw_Lyr7XPeFlKg6nYFwKTKLbA44,65731
statspai/synth/sensitivity.py,sha256=_CESo3jiHKpPQX68075bQAoP6AKVKbxP4ePBNZcgfWI,36654
statspai/synth/sequential_sdid.py,sha256=CpYvzYRrXxac0MMEZf1AuvVGawXGDqGz2ue7YYrVkP8,12889
statspai/synth/sparse.py,sha256=Gm09gBa6Zxra6wTImOTuuQv3h5UmRdvJiWnfTEN_qNc,23997
statspai/synth/staggered.py,sha256=PCcJkPJLi4uVtvDYBKM7xR5HV4lzvWxzHa9OWrUJB1w,24674
statspai/synth/survival.py,sha256=b_wYzEw24zxf5O-TWgn_myPdnvNHM6mIgiw4M3QtH4s,11337
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=hWrdfHGjywySNbtg-atkTpGq9tltfgUo4L-KCMKdNXk,1313
statspai/timeseries/_break_tables.py,sha256=Hpq5BVhorINLWPNgk5A_8zmnGlH1BbYjd4z-GgVFxMI,67499
statspai/timeseries/_critvals.py,sha256=WhuniKr7J5_tRJ4EgaoWxtFAs5O8tQtIlFwgXHw72fM,11605
statspai/timeseries/ardl.py,sha256=QXn9b3KEtws4dNGc1BVg51jaHXbcsZ6hIOO7ybLNl20,25414
statspai/timeseries/arima.py,sha256=CjWuNW2sTvxMQswvCY7w4dCci-bGIyvrNhVhqEQ8nwk,12222
statspai/timeseries/bvar.py,sha256=hrdHm2ImA6605m0p8M-HZR6XlehI_rZ6S-aAcibbY9E,11675
statspai/timeseries/cointegration.py,sha256=4kYytDiS2Zgxf0lyckFOioYWbtD1cEmHjGEIKKnEgG4,16796
statspai/timeseries/corrgram.py,sha256=ZUGRg_sqTZ2K_9-kNhLa6SCwyc6pgCgU126Lx1evTBw,5647
statspai/timeseries/garch.py,sha256=EeR6t8pLW7rwcmgZcRfeilghXrt4LplNzJtCLaN459I,16410
statspai/timeseries/its.py,sha256=fNWH3mN4xHmLNaCx8ctd5ZjrE6WkbI56I0wRtR3zpH0,11670
statspai/timeseries/local_projections.py,sha256=L3rzvmWQ_pU1IMB1x0i4-wU_w7abeDDgY3mZoq8Uq3Q,17367
statspai/timeseries/structural_break.py,sha256=KLoU-AlbIvgsVkHn2uPonrSbOzJiIzVikDgjPCqDyvY,38678
statspai/timeseries/unit_root.py,sha256=miW986Ce81zVge8_uZKrWN7I5GlzB8UKAAFobeaeIpY,15628
statspai/timeseries/var.py,sha256=n-pHghHjGpvbp_nKLIWs4ToeU6SAIx20SMnhDXyHyc8,22873
statspai/timeseries/var_diagnostics.py,sha256=xu8vjSb88RvyZ5VXcPryQkAElF0NN9D1jiWpD62qm0I,15090
statspai/timeseries/vecm.py,sha256=NBKxkn46uVMoHq0lUwgg17DJASkY0v4J1qNkgJmRLfI,19561
statspai/tmle/__init__.py,sha256=pQzXqbc2RJ--nTljAppS04u28cSsDkDgmN5mG1pyuQk,1251
statspai/tmle/hal_tmle.py,sha256=hsLSY0Vjy5nXDw_QAfRVBVI81V_Bwd8is0MeXQEHUqA,26942
statspai/tmle/ltmle.py,sha256=0kcDWNpZJGRCMHsdEUodyLjwKHsqXTuQwvv4rxoDgDM,27554
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=c9RzDwKQmoESm64K03OJBagtsEL5vdNhck2PVQfA6iI,41079
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/_rng.py,sha256=dGNqGQo5n-_a-jhZvpaLB4kmkqVthFbro91BQyDSuSc,4546
statspai/utils/_torch_device.py,sha256=epgN0gSt5zjWRwGov8u7dD7T5nFmKXijO7RMgo5vfDA,4876
statspai/utils/data_tools.py,sha256=qLDFH8rY_B-5aIK8jOZOTU05osfJmt1ccivl3CiFWJU,11633
statspai/utils/dgp.py,sha256=ARcLKcM0InAx_R-lwCMGhpMZIlsvYOnMUoY7rTEp3Wg,31165
statspai/utils/egen.py,sha256=LRv6UZWIxISAheKVKYk5iRgr8kMeVF3ixZxSIHXF2A0,7758
statspai/utils/io.py,sha256=4dv3XybM3Df17tqParWUIAZ1RQx_4ILQc4MEMhrdCME,33918
statspai/utils/iv_helpers.py,sha256=rPtJFMVo2szY8lw_sHXmK39WLKMjKh9UOPgfUqBdyco,4890
statspai/utils/labels.py,sha256=1WSMLDMhjNFNRhujSkPB3Q6SwDavRbSJg_YW-CxewZU,20542
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-1.37.0.dist-info/licenses/LICENSE,sha256=CHffKxmdHd_lHXqamKGlK025eeOtEKIzuzuEi2kUjgw,1067
statspai-1.37.0.dist-info/licenses/THIRD_PARTY_NOTICES.md,sha256=sFEeh7EGRQJFwVLy2bg51RZZfFs7LjZVN4aoxBCkXn8,1591
statspai-1.37.0.dist-info/METADATA,sha256=LDx_tfYXb1QW5WenNqYMIhwx4pZNxaGvlz5_GM2JiL4,44191
statspai-1.37.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
statspai-1.37.0.dist-info/entry_points.txt,sha256=T9yZFK6fEqOq-pIPLFhi1upRakbo2eYgdesPAGyvn6I,93
statspai-1.37.0.dist-info/top_level.txt,sha256=91SFZ-J1oOaLlWejlICkkarG-xfUzbq6TA31CdQNhi4,9
statspai-1.37.0.dist-info/RECORD,,
