marginaleffects/__init__.py,sha256=hDMf8X16rtHIGFMUGb0OEgkDjiBCicA82oYYhFk1E6k,1150
marginaleffects/by.py,sha256=84HS2MTcFA0eC4YbSbSkjuA8Wvnzose8Dj2tYuMfmNs,1070
marginaleffects/classes.py,sha256=iN9xFrVaROMs-5bgvz3xfcWymB3ivmrsH33MgbHO5-M,1938
marginaleffects/comparisons.py,sha256=wsLiQfHSxEZ_ytMUe8Bkdz-T9xe0niKk6QND0PXIqNk,21896
marginaleffects/datagrid.py,sha256=32Ff9MgBqR9IBX1RPL3dUFUBlqh5Nqcp8HGqaC2VHOM,20300
marginaleffects/docs.py,sha256=e9JkLT8X7S6bQ8RqnWiwTo9ER9tKrOrb5a1r3cn90fA,14426
marginaleffects/equivalence.py,sha256=j5efrhOd_Z7jbRX-oZYBr7bToIKI829_hNZ8l_-1d-4,1742
marginaleffects/estimands.py,sha256=zuxZlg3FpXGAxNtO4_BBLzp89QjmRW6vV2XXjPjQvwU,3157
marginaleffects/formulaic_utils.py,sha256=Z2Yt5if962JjhH7hBSXlU365HnxADrvLY7JsJd9Gl1g,5721
marginaleffects/hypotheses.py,sha256=nYNg4seurpUWMddLxggP1NTErja5-8G2wV9h2vkskrE,5541
marginaleffects/hypotheses_joint.py,sha256=SFpYWk2Vt_QKFq2nufwWDpSxHI_N0En4BMVJGovPtKU,3672
marginaleffects/hypothesis.py,sha256=pQVuqITwtIZ8CVoMMdmBfho59n3p9d_uFY9938c6DFA,5845
marginaleffects/hypothesis_formula.py,sha256=-_2nG-Fptt0EBg6aDn8fS43qLY3mrV_ayblXhsXWAmw,8081
marginaleffects/inject_docs.py,sha256=uxYWxdULoO8Liy-pkV9p3vFpS4Mnb9iR7T1mM2TQvZ0,5224
marginaleffects/model_abstract.py,sha256=jw-Zh3D8HJrnUh7H8aOFaSra5NL-9-vfQnoVuN4E2pw,2413
marginaleffects/model_linearmodels.py,sha256=m3miHAlSUW4bzYa12acPhaH8yIYRx-Nb6tJXVLmV81E,9940
marginaleffects/model_pyfixest.py,sha256=wI0NRkliA4iqG9fYVNYezGk0sa4WzsdGuoFhB_CjbAA,3044
marginaleffects/model_sklearn.py,sha256=Tn-bwdjROX5WUwEq5zxMiuWYDvw9DBl4NSrbtRWHDA4,7770
marginaleffects/model_statsmodels.py,sha256=AqOSO1DNZqHDOPcv1ZA7T_7NSDA9vMJufr3kROIFzKQ,5315
marginaleffects/plot_common.py,sha256=s9z9muMONHwjspE9K1QK9xEk6qyrb_Pb0t6ORyBplrc,11182
marginaleffects/plot_comparisons.py,sha256=OeUJPCOzEDHDPl33l43YzDKpS6WMZpP_MYq-gomxOg4,3208
marginaleffects/plot_predictions.py,sha256=anrWDvunbpAcw-Os0W2Q0bT76jk0LztSoAIH0XuP8Zw,3447
marginaleffects/plot_slopes.py,sha256=FTwWdjXmrUu1_dyYREWEdIaKWCEZ4piSVs1LzHZQUHw,3396
marginaleffects/predictions.py,sha256=x_yhmK6mbulLcd0aN4t6xKfOWWUSpzstkQK-CKw4gaA,9925
marginaleffects/result.py,sha256=E2tabiJbYuzNOMpIvC_fFaMEx6MfBB4Hzz1e5rDHpuo,7162
marginaleffects/sanitize_model.py,sha256=cq3DURZzbmSRKoRjiqnQYHSVhHmtgqsysfs4zOCJpOc,1379
marginaleffects/sanity.py,sha256=_arOlecRcmync4gG4yqHugS6E67oVpiWn4nNb68xQqc,20709
marginaleffects/slopes.py,sha256=2CjGlLFLFhvWYOY6_Lm6sTOl1uuamsbW7hav5q32Vig,4662
marginaleffects/transform.py,sha256=pmkM8acGHZUFgnODDmsv_Q3IcqB8mes2tvFIxY16OOA,393
marginaleffects/uncertainty.py,sha256=Q0CGy3N-5f6-iYPf-5RryWHh7i8YMCSGIzknrY37iaA,2755
marginaleffects/utils.py,sha256=DIFOA-22MtM3jkiSKTqPlOswXphd9jcJa1aLvK6Ds0I,15367
marginaleffects/validation.py,sha256=yPtHrr-2oPwBOS6NJxntNJX8onPWEW93Rlnf_4zHV2M,3598
marginaleffects/autodiff/__init__.py,sha256=8x7hMPNs5rdi-xlr2GgKA_tkUBkqd1qFk6dQV0Tp7WY,1818
marginaleffects/autodiff/comparisons.py,sha256=kKzi45avTQOW6rJyE87Q2keGCupfKfXUVcej_nYp5T4,1636
marginaleffects/autodiff/utils.py,sha256=I_DzrW9BNxolqlRjaVKkSnxMFiKeiU4AzgIneKFBaUc,982
marginaleffects/autodiff/glm/__init__.py,sha256=WeE2MkVRLbcFwYncrlchPSrWGr38WPaH6FnUNUJDVhA,177
marginaleffects/autodiff/glm/comparisons.py,sha256=6JXb7wS37hpRXV1q0gzcHN0c81M7JSmvfsgQa_r7csw,5229
marginaleffects/autodiff/glm/families.py,sha256=6QjxTXbam3pEdgPZYm1aq1AzluwRKruRQuXaITm4ZuI,3052
marginaleffects/autodiff/glm/predictions.py,sha256=koLkS0v3JtvwXZ5m_BbsD2EjnHMMjt_RhXQN8vdGuI8,3551
marginaleffects/autodiff/linear/__init__.py,sha256=od0sUz4YuncYCQKvceE_336tOPKNl_2KPFWy0Bxv4dU,114
marginaleffects/autodiff/linear/comparisons.py,sha256=gvKvUPmroTLBeJRQgCoILCNNdHgX3-AndaSazkH7BbY,4044
marginaleffects/autodiff/linear/predictions.py,sha256=5HKEo8oSh5PDoKubahVtx7AUbYqcuilMUPOUFFyc6-o,1765
marginaleffectsAD/build/lib/marginaleffectsAD/__init__.py,sha256=8NRC02uzCJAQnzK8m_ay7pw-kBD_uwhgDfJWzLHfY-M,302
marginaleffectsAD/build/lib/marginaleffectsAD/comparisons.py,sha256=kKzi45avTQOW6rJyE87Q2keGCupfKfXUVcej_nYp5T4,1636
marginaleffectsAD/build/lib/marginaleffectsAD/utils.py,sha256=I_DzrW9BNxolqlRjaVKkSnxMFiKeiU4AzgIneKFBaUc,982
marginaleffectsAD/build/lib/marginaleffectsAD/glm/__init__.py,sha256=WeE2MkVRLbcFwYncrlchPSrWGr38WPaH6FnUNUJDVhA,177
marginaleffectsAD/build/lib/marginaleffectsAD/glm/comparisons.py,sha256=ROmRJdMnoiQfEuVd1ykcGVF2ICec2ECg-3NpcIV_JhY,4953
marginaleffectsAD/build/lib/marginaleffectsAD/glm/families.py,sha256=6QjxTXbam3pEdgPZYm1aq1AzluwRKruRQuXaITm4ZuI,3052
marginaleffectsAD/build/lib/marginaleffectsAD/glm/predictions.py,sha256=rRdV-eZp5kUS2a1HveIbPpt13zfFZPk5EU9fjQpIdmU,3491
marginaleffectsAD/build/lib/marginaleffectsAD/linear/__init__.py,sha256=od0sUz4YuncYCQKvceE_336tOPKNl_2KPFWy0Bxv4dU,114
marginaleffectsAD/build/lib/marginaleffectsAD/linear/comparisons.py,sha256=w-yBrXXtL--6NMM8YMJU6xsTVS91oVgJkUplndmky4o,3926
marginaleffectsAD/build/lib/marginaleffectsAD/linear/predictions.py,sha256=hL7y35XIHDsXHapq2EgcskeBHYG5ZzjrO7IB3NQXQ10,1766
tests/__init__.py,sha256=BJsye75MJ1MxiKLJqQKkuXpHk1IsKOpFQwBY1fM6Olc,30
tests/helpers.py,sha256=ysNyFgnH3K9s5Nam91MU6CzLo6diYM3p5ffRGPXwo_U,1873
tests/test_analytic.py,sha256=iB7YJLebShHVIRxwLIppVz1Km20GtpovLDr5vSfI9zI,10773
tests/test_bugfix.py,sha256=NnlJIbpkj5Ow5aswuu9ygD-p9FMFNpAmSYd3LWOdr0A,782
tests/test_by.py,sha256=gYZ8ktXxBNoIifwliDNEp2fUTPgtyNso7yAi3klkaR0,1720
tests/test_categorical.py,sha256=Am2O4kd0ypxC9xrcpz2G1i2VHox1SL_1qd6BcM7R0ZI,2110
tests/test_comparisons.py,sha256=hqgXNZ66T4caazukbNC1piNTqrwQOZd0SoAlL58wsr0,12411
tests/test_datagrid_01.py,sha256=FbiubV6II2aRNK7Mg8fzUwOkJRLvoY0k4a8X5ZZGC8g,3752
tests/test_datagrid_02.py,sha256=Kv-Y23FSS5Wr3ELgMBkZo1Yd65hZdVJAj6KJIDVLUJk,15938
tests/test_equivalence.py,sha256=rJTbK1utiiaXOhi_Olfb0MqyXTLyKKbguq4_mSzu-ic,999
tests/test_formula.py,sha256=HmIK2Z6frfMm87WL3aIpDIympeKPi6gPull1kiSDHF8,669
tests/test_formulaic_utils.py,sha256=GERWH6NxiQ2HzqEpuasbt5F8mPMOQa5N0vO7MVYp2f8,733
tests/test_hypotheses.py,sha256=7KuSqlaRjMPohqp4Y_HaFZydZI-RwQquqmGr_1b6LB8,2607
tests/test_hypotheses_joint.py,sha256=-wxRAi2ckrOyO0WDxXZ3xId8jlGtghssTea9yx4U71A,2161
tests/test_hypothesis.py,sha256=35e2UdM1Wn9KSJhDbOG2L3LUhROMt3APGrZfbuDuBSg,5937
tests/test_jss.py,sha256=irn1G7ZGrdZD6uFP2v6GstigpUOh671drXofpjUXDb4,9024
tests/test_linearmodels_panelols.py,sha256=ZFLId4wrOtU6cZjEZNfEnOIwv8o-v20F3Fn9L4sx1AI,2679
tests/test_missing.py,sha256=TqvsBlnnmkYCk2l78NiUfGiu3rV2YGaQe8s8kRGTKd8,852
tests/test_newdata.py,sha256=DPMiCrAy0UeJLzfdiq-IGvaRtYHV3yg8XRl04ITSavQ,1161
tests/test_plot_comparisons.py,sha256=-LWzhlzAyoqqDpoi6yj0hKFZuAsHYrjFrInCp9T_wY4,4667
tests/test_plot_predictions.py,sha256=HFw1-K0-5oHk9Dbbl1tvgICQTkbKAhmQ5dib-gQskls,7216
tests/test_plot_slopes.py,sha256=xdpPjhCP_SMio0ua6a9SQvLvlD2ZblI1jRYa8aKGMMg,5412
tests/test_predictions.py,sha256=WmUT-w6o69Y0pc5aup8h1BoT6q65E8rFczNCJI2Q6Zc,4523
tests/test_pyfixest.py,sha256=n9arW2LmZs6Jp1rURotvEVGKH0BgXq-gPMFMQABNOYE,6066
tests/test_sklearn.py,sha256=cMZD0I8HA5E6bgKFzcCip08_Ezjr69ABzv1MOws-UwE,5394
tests/test_slopes.py,sha256=F6G0xT1Uz6b7Aijx-zbTqnctjouiAmgF0aPQP4Y6LC8,1231
tests/test_statsmodels.py,sha256=py-aOnLqdF6LcyZ-UDioMueRdOnKHuUlFL_l8cyvFts,466
tests/test_statsmodels_logit.py,sha256=dKf6zgVadEE14DjOerAQ0U4P7gSd5Xqz8lWT9ZJXZF4,1538
tests/test_statsmodels_mixedlm.py,sha256=6gfnAKGsCMbEOnZdI-klvDFgKxoQQByIluRT9srxP-E,1842
tests/test_statsmodels_mnlogit.py,sha256=8YXgvxHITYw1-xPDUkcZXKSieIEniazg7VmNzBrGU1Y,3800
tests/test_statsmodels_negativebinomial.py,sha256=VqpZlqhcZUHVZRUiPP4P-87HM5XroHkkV1d0zn11cE0,815
tests/test_statsmodels_ols.py,sha256=PjBljdkPHmHaVVv9vZdsE59j-M90mn5puLIUuTKxeho,2405
tests/test_statsmodels_poisson.py,sha256=vYGsrznfwnOWgQyscd_GwUi2mcoXAb2jD6KIP2OSlqQ,1347
tests/test_statsmodels_probit.py,sha256=p_xlanlfzrkWVHlU7hg8FgMvF-BYqSuk28SnciLT3o0,1552
tests/test_statsmodels_quantreg.py,sha256=80VbGHKha2ZbPMfofITp7BhF7SwQ1_xaczADUGJXZIo,2437
tests/test_statsmodels_wls.py,sha256=EhQ3y08IJRkXKZhHmQ4bUt0xILUtI6wk_dEMfEKR9dE,1513
tests/test_utils.py,sha256=qXMRUFGMazkZ25bDXAOkSgF1yHUIltGlyjzUjNoQ2EQ,2467
tests/utilities.py,sha256=rJCEDbtoYEUvbP1vIa3U5AXmAUAoEqkhVrUQFUxQ6ZE,1740
marginaleffects-0.2.2.dist-info/METADATA,sha256=ymeH_Ik-ZMAcTDsjCTValCtGtdBqdhDOBk6gOQPuBqo,5676
marginaleffects-0.2.2.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
marginaleffects-0.2.2.dist-info/top_level.txt,sha256=ifsNxNuNY7nB8KaVF9mqMg03F6Ai_DmF9zzZ4Dqswns,40
marginaleffects-0.2.2.dist-info/RECORD,,
