epipylab/__init__.py,sha256=GWfyLL8P8RHn90weSFgzY7PhU9RX5iiizfBIl_jCpNE,525
epipylab/analytic/__init__.py,sha256=hNzVInO6M_Ng5ZCMITUBYmWuQ7aMBeJWNoVoP6bFCLw,949
epipylab/analytic/inference.py,sha256=BdeIWJjg_x_q0Q7BQdIJF3LXIMbNnXzF3UH9YMY-4kQ,10649
epipylab/analytic/measures.py,sha256=9ovuGmcx9kqODXs3AacOgH3_Ar5XUZuRQfKJ4_1C7m4,2798
epipylab/association/__init__.py,sha256=Bny4FwkKLX9Z_3UrJBjQIQ46oezTL2P4tqv6dRtm8Jw,741
epipylab/association/measures.py,sha256=bMDEXm73GjQajObl7nri5VsI_hjr6y59bcWgZReW5Ck,572
epipylab/causal/__init__.py,sha256=ygnUQOKhMBr3soABXygLX_FFs3q9G4w6aV6ZmIO1q60,14784
epipylab/causal/aipw.py,sha256=CMjFn6cH_theJfuMQ4z1Xpyyme1EMZKbp3adIxzaAU8,39713
epipylab/causal/balance.py,sha256=xjwjyvywr5tKewQcS4dkupC_975yB5UMi8bGjCIWbHc,40936
epipylab/causal/bootstrap.py,sha256=nXnztAMY351yvEIWct1UJSerBEi7b_KiETFBK1eemJM,29234
epipylab/causal/core.py,sha256=nNkgsBMJrTPCyPURhChW6IXAMajCzeP1_KiRkuQE6N4,46335
epipylab/causal/diagnostics.py,sha256=Sgz7SRfmgOWsb5Pb1ckpKonl9Mjd5SKnxmmqs2xPJ00,33907
epipylab/causal/effects.py,sha256=_7EgVJkFYzvcot67D3HWIly2iOS9hGc5spXTDn1tRIQ,15424
epipylab/causal/gformula.py,sha256=_nP3vtMP-YZbHhIce64C-i7edvFFLqd8vx9QnUrPVlE,38626
epipylab/causal/iptw.py,sha256=r0widt3WV41CMke2srcC-j1EAdyqteqFtv5YyHPHCZs,34640
epipylab/causal/matching.py,sha256=hW0rbI2fQEYn2adEebXQpxkOvlx7dMlUcYKXz_L3wuY,39402
epipylab/causal/propensity.py,sha256=CryGYE7X3hSPzeLzuH6QmV-oyfLHeq8MZ1Hwt1a_uWY,22892
epipylab/causal/tmle.py,sha256=bkb-SQVzrX9ZsmPZwvVDCiIVyPf_nx2ImDvvhDxA4PQ,47185
epipylab/data/__init__.py,sha256=s9b1J5seGHfLFJmhXIVqBbmAfNluwfScOf-tzhUv-VE,1896
epipylab/data/categorization.py,sha256=H5hWfQelqbUSIGcd4_wuKJpiIVTzSOYqaWJReX0eYw8,7819
epipylab/data/merging.py,sha256=_CIrGms5Tm4L5fvr1LNJJRMLz_Zz4tyk2eU4yE79_Mw,9370
epipylab/data/preparation.py,sha256=O_R70O8Rj4Ifjgk9j9qBUA83wyFCgqrwVe5xQNDh2jU,8907
epipylab/data/recoding.py,sha256=gLW_oaPntpaD8j5j-_586JjGJ0D6Ti6oynWKLQd2SsY,8113
epipylab/descriptive/__init__.py,sha256=2Ow9Lzvs-3WZaabanU3_nQ1q9PuV3_acOXkl4E7FN3E,1090
epipylab/descriptive/crosstabs.py,sha256=agsll8N4H58VleY-lhZmmoMyDcKrzBawq4SXsbzUD-w,2247
epipylab/descriptive/dataset.py,sha256=bsWwpP-c9uiCO5i5NLNmn7tZGvS4F5d7oBx966LZn8k,1481
epipylab/descriptive/frequencies.py,sha256=M75wUKdj7HVuv6o4QvwJkNfjUaSyGj-TZuA6G4CZIJE,2066
epipylab/descriptive/missing.py,sha256=qKUGjnRZDRKS0lMPDabq_wMgR7voKqJRb0Wxfzcr1xc,1281
epipylab/descriptive/summary.py,sha256=cwsFia7IWszWSbXsu2UnkSo5VA9PkpJo8u1fGCbzCjY,2152
epipylab/descriptive/tables.py,sha256=72WbaWtc6U3pu9bjDEHpN1GrX_3y_2x5mNf9MdmfKYg,991
epipylab/epicore/__init__.py,sha256=09CEBRCXOofiSG_h6pIFR0absI3QAE_15Oq20MEG65o,740
epipylab/epicore/formatting.py,sha256=RSNcZJNzRTZluBYEwd9AqGVUDcYUw-qiPIDw_Or9RTE,794
epipylab/epicore/statistics.py,sha256=w4WSqAa4MJrbYkyleWLnM-lNgR8pdfsnLXTfASOwmvY,4648
epipylab/epicore/validation.py,sha256=EZHcasDfu1qVsGc0hunWgWUiIlU8Qag7prNtbjJDzsY,1487
epipylab/interpretation/__init__.py,sha256=yNVmw94qpCiIkKV2Nz0pqJAWy2LGZ6yPzm-gYn6pU94,2877
epipylab/interpretation/diagnostics.py,sha256=rNveSKtiod8A87ozKLrMkAnWqaPKHfPgIoMTQ_1EE3U,11208
epipylab/interpretation/inference.py,sha256=flg975B7AGeeIxINSvJw7HVzw32y1VpxT0Hn7wkHb5c,9527
epipylab/interpretation/measures.py,sha256=KIMh9m5__3s-C2gf4w2CQPuje2zrvkfwNlaL6jrcd-w,13100
epipylab/interpretation/regression.py,sha256=J9URmbaSBwDj-9LLvM-Jq8iUDIPhz8ZCW9GZzGu3YsE,13451
epipylab/ml/__init__.py,sha256=TnhftWkad_zBfQXPnNmUJmVr3ZLrZiufyjHw-FE7rUI,2741
epipylab/ml/catboost.py,sha256=BO9iFjSmgh658_homZEC5Y3cS9A6E6TkTbHzQ6KOX1E,10559
epipylab/ml/classification.py,sha256=FgppHK9OdBBWzssAsspNWcQCeX3NgDqGV1FxmyncBC8,10197
epipylab/ml/evaluation.py,sha256=-4vC0yj0mzwKhzPyozVpFpGxXmOCXv3AKz23flQfpAo,9710
epipylab/ml/experimentation.py,sha256=hQsGSBrZ1w1eKJdcfa_ivkSh4dJwWqniikn0C2Xxwro,8147
epipylab/ml/regression.py,sha256=KwrdiHxjomps3Q0JhrzuT1okmWxGbOXmx8oRdm7JoTg,9689
epipylab/ml/splitting.py,sha256=MgTPxiYlRc0oYVMhNohlA_J9qFyehzI5bWZzp4WXk9o,10526
epipylab/morbidity/__init__.py,sha256=OcWyqTZkAwLzcoli6adl0F-40FDCWUQB5JnNt2xJF6o,945
epipylab/morbidity/burden.py,sha256=kiso5sXMdEyJPEJR38A4D0c5ehw2RKz0dRFzsMUt7iw,2076
epipylab/morbidity/extensions.py,sha256=8P1iUi_cwh4PMdz-1_A3lVaa52WDYxccC3a0KFWbZik,1986
epipylab/morbidity/measures.py,sha256=fZatPwJc_bPYIhYnbh9_hLPANuxNqCDKOW0VFRhsGwo,3586
epipylab/mortality/__init__.py,sha256=raEvvG3wB2dNRYIsNvXxv1STgcl7oLSJMe-884F7-cw,2344
epipylab/mortality/adjustment.py,sha256=gYbQCFOmfFcnLMlHx89qhrv5m3TijCbE3lgFtZFB5ec,1057
epipylab/mortality/comparative.py,sha256=UArsjTKp2brfP6JoskII4mLtlYa2Ec4K1qI-JvZZ9mU,1819
epipylab/mortality/excess.py,sha256=JrZnJBPoD-HfupOcYZAqiqd5vIoGUhXdtrm8DlhVW8I,763
epipylab/mortality/extensions.py,sha256=6Yi0QrhOOUDk4GwJ5PIDXwd78AFD38LJ4PC7xmXjHY8,968
epipylab/mortality/indirect.py,sha256=L9q2Dw1Y_jH6ceU2-AHRiIKhYQwsWOjikloTRUopMak,1619
epipylab/mortality/lifetable.py,sha256=qfq1PNjrzAAP98dLyyB3pXl-1OSNkYouWilkS3wqv9E,3519
epipylab/mortality/maternal_child.py,sha256=bCGUpVZ0wDz4SmheEO42poiWc8TwPOncLzwr4V0IjIo,3063
epipylab/mortality/rates.py,sha256=HASjkLkDGJOh8nrHd4nx3INg7gPLi_oTE7LdikfLu6w,4927
epipylab/mortality/severity.py,sha256=4FqJk02V5x8puuSQDe2a1StA_ekdJnUxCARNGGzPrdU,2259
epipylab/mortality/ypll.py,sha256=BOIWOWFJVLsUpRXCcMhksmeA3kQlCC9iSyIC7xaLrrE,968
epipylab/nonparametric/__init__.py,sha256=PhMDTMi7XMnMyCssDskVWHhhhjysg3DNbCHYWCEaru4,597
epipylab/nonparametric/core.py,sha256=IT6MQiLueHKwVJf39I8suSPZQM6_f3e5e5KXCp6In2M,24298
epipylab/pharmacoepi/__init__.py,sha256=KLsE1ZOmqjK6QGtL1zombCrcvt1A_3eEQUa57nUTGys,848
epipylab/pharmacoepi/core.py,sha256=IsI0PLkyJC1DfBgjlhW8EhYnpaHvth9jOpvUwCi8_aY,30080
epipylab/precision/__init__.py,sha256=vm6POJHH9LxXnbJoZ5obuWEKK6nkP39nBW7OrQ4hZks,781
epipylab/precision/measures.py,sha256=jZNzSUh_fLQidckSvZSXpG718b2F7pGss_-NuTBgT4U,807
epipylab/publication/__init__.py,sha256=moLa379JseLs7sHmA9ySbuACe8U_yN-CUIUzRhglym0,1912
epipylab/publication/epidemiology.py,sha256=WpzW0cyGRFZDd3tNuWgyCjqU-g4rbDJsLVE2J7fvMDg,16136
epipylab/publication/export.py,sha256=Hx3r89BuWWNuVlRPNGRR8CcgpzKLQechR1lBp9NxWvE,9272
epipylab/publication/regression.py,sha256=Ssg6uPsf-AwREfpM_xTcPsScYGrC9Pr8wha18GMrxlo,10430
epipylab/publication/table1.py,sha256=Wo474VSDwLZZjKRIOTNnKacQKIk37HbCNXOu6r_e9ZI,10669
epipylab/regression/__init__.py,sha256=oqnYNMCCOC79J-kKyJx64RpatuwU6id2EBp5tsfrRWg,1529
epipylab/regression/conditional.py,sha256=VrDIPMjrV5RbIewXhkeJ3HSR0mk36l9uPU8A3Ledm9Y,15096
epipylab/regression/count.py,sha256=OS94oMivHI0AQmu4MqZrmUeJTmhRCfILrPSnrcfCXjY,12800
epipylab/regression/extended.py,sha256=cbM5IfZ8jEjyssVIv6kFiaUwEHtuQhC2dQB2ph0X_D0,19893
epipylab/regression/gee.py,sha256=LuZriqX-qSeUDtLQqxOavxb-kXrwNl5evr5Ob6szqSA,17712
epipylab/regression/linear.py,sha256=tuJNpr5hVkDztN4LtDYxF-mXGN27ZpRjQgFKhoQrwQc,6968
epipylab/regression/logistic.py,sha256=qtS2HuW_yjzoKyLBEqn_8KUYFlAtn-s2_0eT8KDjsn8,8091
epipylab/regression/mixed.py,sha256=lYBu11w6isv3C3beiJR2P4BZX5HuSansV_OQZDbpLj4,18595
epipylab/samplesize/__init__.py,sha256=m8-teze3PXj65JMqLMGAJOfiB-2HsZAUoJVs5VliZIk,1051
epipylab/samplesize/core.py,sha256=JX0HfmCUKvWKOfMLkQvsw-kfyf8aeZXXxtQWm5PUnrk,23786
epipylab/stratified/__init__.py,sha256=2S_YDdn6gqe_qa8VzbtxLDOPIF1mkQ3xs7h5HuBvVGs,1484
epipylab/stratified/inference.py,sha256=ineuQoQCZ4yxkBSxL6iEcIfVQIjVJ9AuZJ7zPVAxJNo,12047
epipylab/stratified/mantel_haenszel.py,sha256=ZLQZg0RH9dYT8vnQPk_GCgEsAJt5Lgfi3VdrjfKe180,4609
epipylab/surveillance/__init__.py,sha256=JyuybXEkAIEGyD3ZppuUp_rzm74gFgzH1-h6b2rLFsI,3348
epipylab/surveillance/aberration.py,sha256=PVTT5gNo2xJodasqPAC6z9ccweHeZG-81VIDKMreuko,22528
epipylab/surveillance/alerts.py,sha256=WeNXt8MUrY_e8WL2ZB4QMz-W3JamPsdJcn-UjJEFkik,9043
epipylab/surveillance/apc.py,sha256=ztt5dIObmLOMzyYjAL9BsyxAEkq9B0atsPES7DyM9Ok,19736
epipylab/surveillance/detection.py,sha256=u9OhsYStPtbxYwNE5oXA6wRjN2zLdHt78mqJAAeXLaA,11489
epipylab/surveillance/outbreak.py,sha256=ZYMBzwsQ1RFcXxcq69bbyuMXtcyksc8Z5Z0FNwJPrmI,10042
epipylab/surveillance/seasonality.py,sha256=HczLDoxItNAh_T6ze1VWSV_qCC98EguIyCMlF0IyrDs,12687
epipylab/surveillance/summary.py,sha256=SmmjgoOqfPftKklwxUZ5yXLv4ktfVsam_gJuQdKnPtU,12102
epipylab/surveillance/timeseries.py,sha256=6U33Hor7EyD94dYe5ZRrpOwtnrTGanVs3cRwjXYIVFQ,12523
epipylab/surveillance/trends.py,sha256=WUdiiPMGQDHa9h3QIamy9Y4As6WiP3jW98Mf37oMTi4,13527
epipylab/survey/__init__.py,sha256=SWhZSnOw6XzRPJQsXjCOJC6nLG3_QjFqHajWnVSkdaA,2235
epipylab/survey/categorical.py,sha256=aiRqjoSH6g1d9EtdfXzOkTMlA8rGLrqQNk8EDgz2NR8,16813
epipylab/survey/complex.py,sha256=oYE_goztQjuJClslUAuns0CzpwYd1a-7u5pn4gOXogo,10014
epipylab/survey/descriptive.py,sha256=RME4ljE7QjmfZN1WcNBBqBh80YEKiVGVhmF1xovrW40,8954
epipylab/survey/design.py,sha256=ETtuc8QSs4m1ZomsdLhNwYxYfnGt-xtTdIdb3zsS3V4,7414
epipylab/survey/domain.py,sha256=35MAG6To-hvMCpIPLqV21a2XRyAFXQSLvVA53m8-z_o,20382
epipylab/survey/regression.py,sha256=CKz77PLiH1kmGaKDw6XOC4oX_dWmFldN3obS11Qu3uc,12408
epipylab/survival/__init__.py,sha256=1y5Oo0nsmXirX1iAr53lNC3XpmSk7XW_0NLfnTLD-5k,1991
epipylab/survival/competing.py,sha256=KkBnhHE63oSpccVTitqq7ZNWuHG_zSE8zZw7CAVnEZg,16024
epipylab/survival/core.py,sha256=wYWRjnms6fkawdx2KOJOQVD3LcCEDCbi3IcoL6CnWRU,8132
epipylab/survival/regression.py,sha256=xC4hgJjtOL3qAutO9nTwt6qIifQzBYf_kPiwke4Kpws,13573
epipylab/teaching/__init__.py,sha256=WGvCNjYNKxJk_iY-h1kos_pu-FK0tlGb-uPYp9bFym0,2505
epipylab/teaching/cases.py,sha256=77gwq5lpMEM9t6Qv7Qf_akPH5H0FVTebaHOd6nUEqYI,14366
epipylab/teaching/datasets.py,sha256=i89yZoJDNLC-sdNAA5Va9IGpYJGHWlWhUbuNw2EV3OA,7999
epipylab/teaching/exercises.py,sha256=IdTaSwNJwVlkPhKB5LkuwNdIssZq_lzaug9tgONr3aQ,12165
epipylab/teaching/interpretation.py,sha256=OR83eQiE3QT1ns9CBZJBD60ksf21ndi4eh61yip-GGs,12771
epipylab/validity/__init__.py,sha256=ZJwx8pbfHQoj4YOU-rsZRqQkIVy-_fLKHJunrJTNNc0,3031
epipylab/validity/agreement.py,sha256=nQXodbmAZiOG2NBn1t6QtLd_GKmz7TV_CBrPcnTDU5g,6903
epipylab/validity/clinical.py,sha256=mtpBWVe_-KPxLxYw7fJ6sbtwzo3vJHIuP7lOSzRXvcE,5196
epipylab/validity/diagnostic.py,sha256=qPVO7ISsB-cdXI8IDXatyogaRmF1lC50BUKBuPdg2Cc,8786
epipylab/validity/measurement.py,sha256=n4QHMaPvoj9fpbgltj03wR1wJwJKx-mds1QvDMEnGME,5358
epipylab/validity/reliability.py,sha256=-FTMdfkVq8tSaemAj0J6a8exLUTyAhTn5EPiuihvg_I,6953
epipylab/visualization/__init__.py,sha256=LkijThHZvVuQ0JNnDlOUrqDf7nNSegOCCWWuF7ib7fQ,2006
epipylab/visualization/epidemiology.py,sha256=FfwEcUHfSYbvG1fg9juabVhf0pNzVh_KSb62tUxK3Bg,6851
epipylab/visualization/regression.py,sha256=gStrkJ7JpTa82vUhiqGPqlyA8LIC6YKqvohb_4vQj5s,9172
epipylab/visualization/surveillance.py,sha256=XJcz38qiBPIiiyC431zOJtW7A07n7KKdq9ehtaDkyxU,8662
epipylab/visualization/survival.py,sha256=RCvzvQ8A4GIOCJoHT4pkdt_5A2ikOJ5AIFCid2Xriqo,8667
epipylab-0.2.4.dist-info/licenses/LICENSE,sha256=NYYqROKB_b4JeRLj0f98B75U7KXHtCv6G6z1qN5Ie8k,1070
epipylab-0.2.4.dist-info/METADATA,sha256=9qmh4lX4JvXXF_2Z-oRvYCA_eP-VxHfg2vrvNmmMx5M,6103
epipylab-0.2.4.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
epipylab-0.2.4.dist-info/top_level.txt,sha256=Row7baUCTRVGiAdNzjCH-6eJMKkfvXdjJ874fV_wSo8,9
epipylab-0.2.4.dist-info/RECORD,,
