BayesForge/__init__.py,sha256=GTu595iSQfNsrSZ9Xealef5nbkPrbM5CSrEH7j72ktI,366
BayesForge/BNN/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/BNN/activations.py,sha256=seIAr7hA_HRxf3iEG3A4Ml3gIODHJOgu-dWqQC-R9gw,8741
BayesForge/BNN/bnn.py,sha256=tcyFfbXbdW3w5fYgRSQ0EWy3JZo1iIuZJayzVHtGtcI,12918
BayesForge/Build/Build_NP_light.py,sha256=v1KZo8-W-AZ3RGMhr4QZvIQQ4-fKbkRtSMW3lF0cnE0,11636
BayesForge/Build/Build_R_documentation.py,sha256=AqGS5fFAM9sOHSFWRx0yTZEGu1axGlD5gvfK5V1QeTY,5195
BayesForge/Build/Build_TFP_light.py,sha256=Hp-cU6T-usc3nLOTNRTfNsrfUe-FxNZuvCsODuHNIDM,5780
BayesForge/Build/Build_test_file.py,sha256=i4ZA5ViVYpk-KmZL_D5uLYJIhGXLZ3Tu6pXIYoGM13Q,2492
BayesForge/Data/manip.py,sha256=QOMr9Q778-Yf0KgXEl8hs8xpBEk6mD_MOpfV7tOj8n8,10209
BayesForge/Diagnostic/Diag.py,sha256=ITxuxhXfv0Zz4W7VA0AJa4A9ysF70VH70-1935KZ1fE,25813
BayesForge/Diagnostic/Diag2.py,sha256=uOsylKF_AAGrkOiKqe5p6iesE7onHqkG4W5h7uUu9sI,52842
BayesForge/Diagnostic/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Diagnostic/jax_diagnostics.py,sha256=RAcbMAnXr7N0EgCoqlTn9GUX1KdpQyWwiXa1fadZw2k,43908
BayesForge/Diagnostic/jax_summary.py,sha256=31YyIS4yIXH3jFoRzRH1yi5KINkT4kzcgLMfHRF7Gvg,4361
BayesForge/Diagnostic/patch_diag.py,sha256=IyAg6u1k0mEA2xvrzXcmpn5QZPkm78GLAXY60GHOjKM,30975
BayesForge/Diagnostic/ppc.py,sha256=kc79YM70toNfeIpfIPDyt6wNBOeEU4nOko6svPELNFc,22340
BayesForge/Diagnostic/regression_plot.py,sha256=iQtUsvU_p9FUp92oxACnMu91bYrARKVra07K8g11zBg,7942
BayesForge/Diagnostic/sensitivity.py,sha256=yVNyM2RdWu-e3ozWfLsBx6yRGDyAVE-et-qt2u49JlA,15190
BayesForge/Distributions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Distributions/np_dists.py,sha256=ZIJMLGHi-4sZtbwByKg7jWuxPZrDf0t3_ZfY0FH_BTk,421262
BayesForge/Distributions/np_dists_old.py,sha256=aA2oZL2TaPO4jS2iwF-d1I-stTy7iVmFb6G1XBbEoD4,371575
BayesForge/Distributions/tfp_dists.py,sha256=ZgGIsaCmoi-pS7pNTdZo7nWxRx6RcaxCXkSYePNbYVc,235506
BayesForge/ML/KMeans.py,sha256=H8asFvbOTnstCSmvwUHDoZlGbAZQFmUlYEJgUOcTojY,10022
BayesForge/ML/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/ML/ml.py,sha256=CyAB5AraINZrtBxvXxBHt1PBZsKeUo3nheUZyr-tOuQ,3016
BayesForge/Main/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Main/main.py,sha256=2ybACnyqr2KJDA-Dr_8zY5UVWIdtOlGUXpm8kZ-V8lQ,27430
BayesForge/Models/BNNC.py,sha256=N2dtGpGOKhFrnmusNv9xN_kfreVp-FoIuEHyirbTCSM,6130
BayesForge/Models/DPMM.py,sha256=K36BKT9TEoXMeTo98iqKg3vAcbG6ElbOKakzUKXZM60,14561
BayesForge/Models/GMM.py,sha256=Ftrvc-Di4B7hNqOKaYNkOoRmgSanee-pcuUE17GBQRM,10469
BayesForge/Models/PCA.py,sha256=vTQnLDYyiIkl9eP-NDF2hJNKXvpCyBRdwMIvcu8pX90,34188
BayesForge/Models/SRM.py,sha256=noSjPvohHaP2-1z03NPDThhmu-epNuOYUT_KFFQcTNo,24297
BayesForge/Models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Models/models.py,sha256=SSBOiPsOk4z8OPDPZbUKFdv26KoUzGlnHR3_CHK1iM4,1349
BayesForge/Models/surv.py,sha256=gErSleRSytnczcNqunen7t5UQputuIUrV9Pf9Wwb79E,37775
BayesForge/NBDA/NBDA.py,sha256=zpv2aVXbEWAEMLR8WSOkb8J1hs7rWitRM94c4GR04iA,31153
BayesForge/NBDA/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Network/Net.py,sha256=E7LBXn80PjE2Tt2bN0EpaBTHkCpIbTg1C_tP6SmuR7I,1121
BayesForge/Network/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Network/metrics.py,sha256=JQQUBe0u2OC4p26wntldL5q71gSmmzJlzDTyTIFdyfs,22318
BayesForge/Network/model_effects.py,sha256=rsW01N5Gi5D5vVy_KxXar-2HztJ61drbT4DhZBsE-oQ,21632
BayesForge/Network/util.py,sha256=B-dRyswNHzpkEnC9sN66qJ2N-neTuRXwMk5uJ61E7zk,11932
BayesForge/PostModel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/PostModel/to_latex.py,sha256=zIEH9mBt1badg5ws-3CZeFguyPAUc-ut2YrRgLfcB9A,7347
BayesForge/R/BF doc.py,sha256=qqfuUDeRG3Pn2Zz23YrSLXTPfppv2Wp2GAfRxM3y674,1795
BayesForge/Resources/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Resources/datasets.py,sha256=G9swa5mZT4LNgNEIyG8xIKXsZhXFcKRS9XGFyl640kg,23149
BayesForge/Samplers/Model_handler.py,sha256=6PIFFg4wDe1MqPiKllrICA25s6D-ysHt0hNNnGQQvPA,5528
BayesForge/Samplers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Samplers/mcmc_numpyro.py,sha256=jTQfVhHWSrtlWVckkEsAUkMWi3z1CS0EbbDocl7Ft1M,2019
BayesForge/Samplers/mcmc_tfp.py,sha256=g2nO0Wfsf-0pzp3dn06KhqPQ50LTCb6Up8QQnkCf-gY,7426
BayesForge/Samplers/SVI/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/Samplers/SVI/svi_numpyro.py,sha256=2zLwr3yLgMwiWNLD-9uZ7AjnhNquKopzlgZfWUri7AA,3010
BayesForge/SetDevice/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
BayesForge/SetDevice/set.py,sha256=9Z6LJhVzj6SL2yiFu9RuhOrAHmByrXLondvcKLvh73o,2640
BayesForge/Utils/Effects.py,sha256=42H5k_bg1K6ZrTRNycJuXVQ32l9NwX6kOjf4tNNpY3I,27416
BayesForge/Utils/Gaussian.py,sha256=FF-fSivum9x6Py8BYVKqtLxP_WVfjY5oNf3LPacNvE8,12449
BayesForge/Utils/ImportManager.py,sha256=bMI-8DzShlMHkTmmjJcbL6VER6_MhpttOgJ3PHgAulI,1367
BayesForge/Utils/SampledData.py,sha256=jAGrM8avphEc6x_-LkFHQvUJ-DcGaTASeYu2FtOTXV4,31752
BayesForge/Utils/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
BayesForge/Utils/link.py,sha256=397DZTgwUdBeU7W_WOOHPCORelbqACOpMKanxFMG0Uo,6130
Documentation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Documentation/_setup.py,sha256=hXqa2mBExp5dyZAbfY74I3GLxrht_buGUMh2_j3EdfM,411
Test/Models.py,sha256=_9_QfN4jEWVvFE3yGrc3SiRnrBAuV6dTIuir-A9PFYk,12220
Test/test_BF_simple.py,sha256=jwA42I1TIcGHnO27SuUzgzHumXb_jumo8yUGDVnkZgg,452
Test/test_save_load.py,sha256=K8Ud1Pcn-0z01sK1cAq4KKNKo8tMfHmfSk_N0ebzufE,2144
Test/Capture-Recapture (WIP)/check_parity.py,sha256=3TaYc-ARdBnwfWWy2dEoxi2F3lqC66YlyW7YRHuh8EQ,744
Test/Capture-Recapture (WIP)/compare_cjs_ms.py,sha256=jg9EmWpcYXrIqQW1RvGBt1dV51cjK49iXBDQHElX7WQ,2428
Test/Capture-Recapture (WIP)/model_BF.py,sha256=MEmkJ21DesREQZ4d-vz7-Y-gdhjM_fqDtHuSYffzRdY,7035
Test/Capture-Recapture (WIP)/plot_comparison.py,sha256=-4I0QuZcSQ4sFWK3_G9WAvJMzaZnewsIIrSqtSJRHKM,1330
Test/Capture-Recapture (WIP)/prepare_data.py,sha256=t2-5jnwEGyfmqp47T-1elwhOB8mIhrDSp9DCsDK2wHA,904
Test/Capture-Recapture (WIP)/run_phase3_scalability.py,sha256=mVIPPWv-Zkrb_DY9nMaUXgQ7sEiHjDBLpKYZT_9cHd0,1211
Test/Capture-Recapture (WIP)/run_stan_benchmark.py,sha256=-_6tnHXFT4Ztff6TygGGbnggqdLnOVRXIdjJGW3sY2A,3312
Test/Capture-Recapture (WIP)/verify_data.py,sha256=czs7vyjNgr3FRXezvIdhixSRwwpryut1qLsV438kYHs,1067
Test/Copula (WIP)/gaussian_copula_approaches.py,sha256=BPV_qvw2sQAN_f8txvKr-STlfgmBcIjAByuLF3_4Pog,10746
Test/Copula (WIP)/test_icdf_patch.py,sha256=wiTxG01I2kXa3jlOochYW9A27GMXQk859MuKTBNNtB4,2494
Test/Copula (WIP)/test_inference.py,sha256=Q2dNJ0xlV1oPxdb81GdFqn4AZiC5O29bUKTa9tAFaJg,2351
Test/Copula (WIP)/test_mock.py,sha256=DhNmb5ud0aeCYkGjVqkKn8rJ1v9nGygBx-X2tss1fok,906
Test/DP-VAE (WIP)/perfect_dp_mixture.py,sha256=hfc4Clz8f4UFiSZ3vb4GKYiCmpOE_MsNHIxDb-oyUUg,8580
Test/Diagnostic/diagnose sampling/__init__.py,sha256=q_KpRH7PZo4A_3ikfsmtazRCV5jARNVZCZyCQXpOhpM,31
Test/Diagnostic/diagnose sampling/diagnose.py,sha256=mEaWOehbDl-Wzb5VyPq5pz7GtP00bXNG9c7po5d2_0E,11510
Test/Diagnostic/personality_traits/traits.py,sha256=0P1_JgQUXgoYRlXRrEQCBVsd2qOPqdpqvwX2rqEVCf4,2821
Test/Diagnostic/ppc/test_ppc.py,sha256=PldJIiaB9Zk_GUVUO0rHyewfop2wrPOBoGvoWPV4EqA,4346
Test/Diagnostic/regression/test_regression.py,sha256=Fqb1R99vErVD5VArmS3e5RjdnidkzDHJNhYs_KEbcYY,2159
Test/Diagnostic/sensitivity/test_sensitivity.py,sha256=n8MZRmGWLyb1m40vL4nhFKUFKY0gjT4GH7FO4DLwjGs,3803
Test/Diagnostic/summary/diag test.py,sha256=3j_m5jCE3S7BkKw6qyBtahQzOi84k_EsY4KknzMreww,1054
Test/Diagnostic/summary/jax_diagnostics.py,sha256=w0BltHyGOY4Y1rPAX-DjMUcLG834DW73UKAGvTIIzJ0,332
Test/Diagnostic/summary/patch_diag.py,sha256=rRv0jUuZfX6V2_Tyf_fQPevFKfU5McqgAky8RYKjUSE,279
Test/Distributions/distribution_numpyro.py,sha256=JTyN1jxjDU6tmjytAy9ySPyPRGUCDHzUv-Sv2vIdGPE,19619
Test/Distributions/distribution_tfp.py,sha256=G8gtlTVB4a7Q1roEWIdHP0-xhNE6B_xjHoRblfLd07k,2788
Test/EWA/run_comparison.py,sha256=3Ng5sTFFxP1DttnogzJgfGsyhjfZP6mAK_VemClrC1g,6665
Test/EWA/BI_backend/model.py,sha256=vNx7I-NsYr2RX35WnYs9_G-d6SUGNRTpSmbujovKvJQ,6455
Test/GMM (WIP)/compare.py,sha256=vFWfN2QvJMcUTvF38Ald0BiPcxPnUONLGldyxzqj_LI,5321
Test/GMM (WIP)/ggmm_BF.py,sha256=5bERcNG-MBQIZADI2_kPtMibQdbgZLlxVPBB_pNz7dU,10182
Test/HGAM (WIP)/benchmark_hgam_BF.py,sha256=o5Xcitu0q5nPcJ_k8ZyEKFvzMmeX-3nxD6UleSsQbs4,2989
Test/HGAM (WIP)/gam_utils.py,sha256=yD-XReuT0SH6nx4ifAP2DtvO4X267Q-KUkSV_o-2KVc,7146
Test/HGAM (WIP)/plot_hgam_comparison.py,sha256=tltJYtqSmqam-66WjvugTDlLNxeiKo3S2JcJaZMcT5U,2020
Test/HGAM (WIP)/test_native_gam.py,sha256=9I43s93dCDkr2UrIwSPFWe9JYYo2vReCx3jNh8FEL30,4196
Test/MGM and DPMM/7.MGM_DPM_Similarity_Test.py,sha256=QIJRtFM9ZS7PIzqEpuh6x5hzpIgQfxrSc-E8J3l_vXU,4021
Test/MGM and DPMM/Similarity_Test.py,sha256=QIJRtFM9ZS7PIzqEpuh6x5hzpIgQfxrSc-E8J3l_vXU,4021
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_3way_beast.py,sha256=9ZNtYGVCEMpuw7lv57tPSDGMY_hAMIU-J7wPR3sx0g0,3461
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_beast_BF.py,sha256=5hpFGk808hiI5rehUlIh5y1bnMF8wPp3ulVsDkZwDpA,4536
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_bl_beast_equivalence.py,sha256=oK2Pi2jtQ2TTBo4GA_pYppHL3MXqklCE0Mk88Uwvwes,3184
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_estimations.py,sha256=2eeEKGyQmnKnXl70yvOo1VAjCW9gXonWIEcaE7kpgOE,1446
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_posteriors.py,sha256=wVmbyrJEQO9Nokd8Hu1Jn1Fuqg8dNcKBkp8L3kJ9Wn8,5413
Test/Modeling Evolutionary Heterogeneity (WIP)/compare_posteriors_blmarg.py,sha256=8fVcGfuH1_-KBFOvEBQZdM8yteuVuXdVh41ps0OKiuw,7281
Test/Modeling Evolutionary Heterogeneity (WIP)/create_xmls.py,sha256=6lcXqBuwcos5pV0Mik6TsRmpgjii_t_SNieBUqjIBjg,4374
Test/Modeling Evolutionary Heterogeneity (WIP)/tree_data.py,sha256=1X_H-OXq4zBhZGwe3m21R6UP_2pWOZZx-llD7CpKsPQ,1386
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/fit_BF_gamma.py,sha256=gfBCU6GHmScTnCnhKFPm2DqDfWE7xkG556cqIYq8tAI,4262
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/fit_BF_gamma_fixed.py,sha256=gfBCU6GHmScTnCnhKFPm2DqDfWE7xkG556cqIYq8tAI,4262
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/fit_BF_gamma_fixed2.py,sha256=cEhN1K_xmGa3fSG_nMyBzvejP4vpqGzxr_gLmIB94qU,4256
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/fit_BF_gamma_fixed3.py,sha256=15kxTxG4b5bdvgJTcRTbIAcmbbr6rmuimkvTszAyAfg,479
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/fit_BF_gamma_vec.py,sha256=_KUYN0SgyYOIC9kUdg63U5bx25TpG6EErxFR3oec1As,3669
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_1_Spatial_Heterogeneity/parse_trees.py,sha256=liW4y3-FQ4pYeqB9Z_LWM5n3iKkyjFeUNW2csoQGQhs,2278
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_2_Temporal_Heterogeneity/fit_BF_ucln.py,sha256=CHKLoZ_ii8XDEWlLfjqPkFeqqzkYMq7YrUGFp2Y5_Sc,4417
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_2_Temporal_Heterogeneity/fit_BF_ucln_vec.py,sha256=-qU8OgJNEdzcuUpTJ4jUbFJh_fe1L8Danf0zjyFaqnw,3969
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_3_Spatial_BLMarg/fit_BF_gamma_blmarg.py,sha256=dodQBI16HnVQjLrJZIaJTrTVsODw1aCUajf-kQRbcew,4904
Test/Modeling Evolutionary Heterogeneity (WIP)/Model_4_Temporal_BLMarg/fit_BF_ucln_blmarg.py,sha256=v-wWk5slUalLyGLzGD3wDLahOPurZyAyzvHx9FZ5OP4,5286
Test/Modeling Evolutionary Heterogeneity (WIP)/scripts/check_vectorization_logic.py,sha256=XJ-puYPiy-BV9MPB2LUsAt6a2hUEl92383R48pcc9TU,2636
Test/Modeling Evolutionary Heterogeneity (WIP)/scripts/generate_xtx_log.py,sha256=l5rUOl2ilvKVzh4rWWoW7YyrDavlBmFWjIo7YtBDpHo,2442
Test/Modeling Evolutionary Heterogeneity (WIP)/scripts/load_data.py,sha256=L2YwK6FNbVo76Fmc0qf99bT6JBpCaEXp7554Oy29FgY,2429
Test/Modeling Evolutionary Heterogeneity (WIP)/scripts/tree_6.py,sha256=ck9UxU5LmzIXASpgtBunoFNoOLnrlUSG0GDO8URQewA,1030
Test/Modeling Evolutionary Heterogeneity (WIP)/scripts/tree_data.py,sha256=1X_H-OXq4zBhZGwe3m21R6UP_2pWOZZx-llD7CpKsPQ,1386
Test/Nested effect/builtin_function.py,sha256=pdaAlUETECsynwaJh-gfETDGgV3CMbhREE-qeytFzVA,18370
Test/Network/Multiplex (WIP)/SIM.py,sha256=5XmgJVBmIcVZuFC0gD1vrAB-CWdBr-aTrca39COVR7o,17588
Test/Network/Network metrics/network_metrics.py,sha256=PcixQhdgq06dIaYcMK9l8ife3jmlrnshf8RZVevJRmM,8116
Test/Network/SRM/SIM.py,sha256=Q_2Bid38YZdv1X7jvBrwIw0TbpePBik91CykuqbKYq0,24954
Test/Network/SRM/benchmark_stan2.py,sha256=v_cUwZUI9vKOHx_eha-1CvFKmyTkxpY4hCWEBrxKAec,18635
Test/Network/SRM/fit_comparison.py,sha256=U8ZyS3aO62yKDPtKZXBlh-CwJJZ-d3FBO-yelgLSVIA,18250
Test/Network/SRM/benchmark_suite/benchmark_stan2.py,sha256=v_cUwZUI9vKOHx_eha-1CvFKmyTkxpY4hCWEBrxKAec,18635
Test/PCA/PCA.py,sha256=vCD85DpdzZY-O_8W1jdbh2SKDnvjHtNE0eUWgl9PtGM,3684
Test/Phylogenic analysis/Model_1_Simple/fit_BF_simple.py,sha256=FykXRz5hFAOo93MoMEjmeMNY4Q9vWBIT-BL89JN2Bkk,2148
Test/Phylogenic analysis/Model_2_Poisson/fit_BF_pois.py,sha256=t0jZTS9rN-QAt-zixNrKP1hQr0AcWpuN5j-5XOCTgno,2436
Test/Phylogenic analysis/Model_3_Repeated/fit_BF_repeat.py,sha256=cTgQEyR7waWj9YbT2ksF-paHdFNpP7mvSrIHR_IiAa8,4009
Test/Phylogenic analysis/Model_4_Meta/fit_BF_meta.py,sha256=oYMjjSMy0XBT29u-sW_DTJDCQeGGNPIf6GpM9mkEXMM,2351
Test/Phylogenic analysis/Model_5_Slopes/fit_BF_slopes.py,sha256=DdMXPa2JW67LtIOnoYgV9iwO2RgOYHs1VZAMvWsC6IU,3130
Test/Repertoire/BF_only.py,sha256=UuJ4rPana9OA8D29RF_9q_ylNzJCZPZ0a8zCQxEkn1c,2452
Test/Repertoire/benchmark.py,sha256=uetSIxm3UVf84v4EerezRzWMnAqEOmjSImEYrO2lJ_s,4022
Test/Repertoire/check_stan.py,sha256=3_dwd-T74fCRDQJCZfHN72xrPWOdhn1R89A9OXcxKcg,125
Test/Repertoire/compare_moments_p.py,sha256=6_2ilDKetab4PxYB6OjC-tknRuJmxz-jtX2wUsCITUQ,2075
Test/Repertoire/compare_summary.py,sha256=mAz47KSBA_V98lem6mjlB32Evo6bd2XdUYWgchcPDEc,1699
Test/Repertoire/save_stan_samples.py,sha256=TOSp_UiiR6he31vaG-moV2wvWSg-2_1RaZXbqzU6oQ0,715
Test/Rethinking/Numpyro backend/1.Continuous variable.py,sha256=Ku2yySxBmrTIpzETrsapAFFbIiFCY57g5FH3O-2DiH4,3245
Test/Rethinking/Numpyro backend/10.Zero inflated.py,sha256=bwJ6l6b65YKHGz7m09_0dXxzVb6V5hdVTfbqKwDYqCs,3250
Test/Rethinking/Numpyro backend/11.Varying intercepts.py,sha256=UCdaoX-6C-4F76M8dGtRNqyXhqMwQ6MSrMlOEJWeSgI,4098
Test/Rethinking/Numpyro backend/12.Varying effects.py,sha256=4djRDHDlgVXHhpxIbrUlM0SVAkq_RtkY4MU2s4LuOnU,5821
Test/Rethinking/Numpyro backend/13.Gaussian processes.py,sha256=RKYK2s_7mvXXK8ZgTG_ysB-uIImlLanJKF4IVfrOuag,6956
Test/Rethinking/Numpyro backend/2.Categorical variable.py,sha256=yqHikR694ST-morMne6xWiSzW7_xLnP6kmpqevRkiI8,3146
Test/Rethinking/Numpyro backend/3.Continuous interactions.py,sha256=Bzx1vihoamtK-alXAPT9XbxtlyMu8xyUZC0veS_0ID0,4558
Test/Rethinking/Numpyro backend/4.Binomial.py,sha256=qcJfJ10U_lH5echioDrLYjHgMzfmGIkV4fJe-LT8iSw,2532
Test/Rethinking/Numpyro backend/5.Binomial with indices.py,sha256=q0TklIEweg1xJzeLWLIgJAR4XOH7daCjgt52wKiiWLc,4494
Test/Rethinking/Numpyro backend/6.Poisson.py,sha256=-jXj7BhX13slxdxRTgEvcFZiDjbzzKTONNmxH7S-NjU,4123
Test/Rethinking/Numpyro backend/7.Negative binomial.py,sha256=wxgaVc33cCAo2YkwfaCjOpUOfobkiFXk5LwJZu_Vhqo,3456
Test/Rethinking/Numpyro backend/8.Multinomial.py,sha256=dybthkaFvcbn7OOBtpymcsNrswqsSH5LfzKD_iyEYx0,4883
Test/Rethinking/Numpyro backend/9.Beta binomial.py,sha256=vtWhwLp9h9UvT5KNzrOnV3di4eiuS3msUDonOW6-9e8,4581
Test/Rethinking/Numpyro backend/Utils.py,sha256=PTHckt_0vZlDpsbxwfvllSEzLrdChrXMWR5r754QwxQ,9110
Test/Rethinking/Numpyro backend/run_all.py,sha256=QBnK83L90ZMCTdTth-DA0apFOj_rnRC7T_kGvKrlBLM,2028
Test/Rethinking/TFP backend/1.Continuous variable.py,sha256=HEOP4_CMgMGReS9yO8NrvInQT-e-Tf3WV1ppj9C6LbY,3419
Test/Rethinking/TFP backend/10.Zero inflated.py,sha256=JAaxI55ZxTzVBjylUR1PuM_eN5FWLFshbF0wyVv4fcA,3616
Test/Rethinking/TFP backend/11.Varying intercepts.py,sha256=bosw54Q0fBR4SZDFypLe2GmwtlxZTYPIJVegVSihFgg,4437
Test/Rethinking/TFP backend/12.Varying effects.py,sha256=NDUJuah0pRq2wgl2Ne0pmDjbIvBXeg950SAcvLumqHY,6964
Test/Rethinking/TFP backend/13.Gaussian processes.py,sha256=xrYxJjfkhWlz0EOyDhADKscWRzYvePpqWgUBbYxBIik,7309
Test/Rethinking/TFP backend/2.Categorical variable.py,sha256=URGeTojP9QiiPwxU1cHIoRxhZaZ5PQmP37CEAHyWMus,3271
Test/Rethinking/TFP backend/3.Continuous interactions.py,sha256=iRjmVXW9Qqwd1dPqIVrdMtiI7x_P2cT73KCzgkuUlUA,4820
Test/Rethinking/TFP backend/4.Binomial.py,sha256=wT-SSDC2FNgrgQpWd-AWFIIcf8tkXrpb5Ldk7HzniUk,2759
Test/Rethinking/TFP backend/5.Binomial with indices.py,sha256=zR1jmCSIhNkBqqpYY3puFMYM54NUVRJyib7Fcj6UHpw,4662
Test/Rethinking/TFP backend/6.Poisson.py,sha256=DeUq-1buSngF-vMdTPhgheo63GflSVpOiLjcaIQ8o_w,4214
Test/Rethinking/TFP backend/7.Negative binomial.py,sha256=vXc48Xe3JB0y6OHsqrPJj5tqn_qT651NyZRV8OuDlxo,3652
Test/Rethinking/TFP backend/8.Multinomial.py,sha256=fMr3ZjOYNb4DO-fc4XmcUFYkFz77ne0dwWmzcgvBlf4,4805
Test/Rethinking/TFP backend/9.Beta binomial.py,sha256=4yLIkUfm5ucPomDl8HpQsz-48EEUQAsNPukCNMDE1wk,4644
Test/Rethinking/TFP backend/Utils.py,sha256=1lClMG6rqEfWdB-F7QyJaQcplppt_yN3dUVkOSjdOao,9305
Test/Rethinking/TFP backend/run_all.py,sha256=kf4WyyR7c0YJUN1LW5Mb8PfSFlX2_4V5GD4vHJcYZMs,2133
Test/Rethinking/TFP backend/scratch/check_summary.py,sha256=IzKWsDFYlJpPO1ABj7MFCFfTFS79Rgtc16Ohaa-M2ds,421
Test/Rethinking/TFP backend/scratch/test_df.py,sha256=ncpavDk7hRS-v9vNzAQhfxw8qwm7UshmlQ6-WTFKmxk,277
Test/Survival analysis/Survival analysis.py,sha256=G0_fRNy93RfOoXyfK19mUrjAbOjHFzsR0yFbom_U9B0,4971
Test/Survival analysis/Survival_analysis_verify.py,sha256=FeGfBLEBhK938Elg3IOhF4FW1_fi3Fw9MuCIvZ1CmVI,4342
Test/VINE (WIP)/__init__.py,sha256=ZpXQKhrZCS365NcESzAkJ17okTqBk78tDMNIG_v-L5g,1717
Test/VINE (WIP)/data_parser.py,sha256=qpe-Wzag4mOW1LxW2mHo25a_hWAuSfkW76kZNlKu3Pc,4588
Test/VINE (WIP)/decoder.py,sha256=xkRYEGEMYlo9Hw-Koz0PCeNFUuiiUG_mVV5ZfRyGRoQ,21144
Test/VINE (WIP)/embeddings.py,sha256=ctfixpxXx4KjOXnlcXZpo17ZqA4hpUxlupD44DUuz1U,6276
Test/VINE (WIP)/likelihood.py,sha256=PA7H4lPbxlL-UJ6uRDgU_aT-dn5GQj5ON9KJfbSnD6U,13006
Test/VINE (WIP)/optimizer.py,sha256=0BmFI9Eabe9Y-kYIolOoq6e858mI0QspooF99eWL4gY,10439
Test/VINE (WIP)/validation.py,sha256=uxl6az3kD4Ne2-jQ3W_Wg_vQxeXJI1ZWC9Qb7eCOwaI,20923
Test/Workflow/workflow.py,sha256=DSx1AYt7K24Qgv9fDIBVpDXdcPeDq3cqYy2VouTspJo,56497
bayesforge-0.0.48.dist-info/licenses/LICENSE,sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk,35823
bayesforge-0.0.48.dist-info/METADATA,sha256=y6CgknaujUuSo8hVTW52PRzoZ3t1ryV0MxVDjfGM87g,13891
bayesforge-0.0.48.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
bayesforge-0.0.48.dist-info/top_level.txt,sha256=FeDvhiM2b9Ueb6FDH0p-RDFtSO5WVpnx9ky8avhP5Vo,30
bayesforge-0.0.48.dist-info/RECORD,,
