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alkaline-ml / statsmodels   python

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Version: 0.11.1 

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statsmodels/LICENSE.txt,sha256=HKeOHeydzrxV87lqhiMX8j52QixfyUNWjZVarR9rX60,1636
statsmodels/__init__.py,sha256=dmD5HxxyMmnNdiI52iilpne-xjyk--PORA-dc_YUn4U,951
statsmodels/_version.py,sha256=lutACBdlWPzHphEPtLepF6V6l9p_z9vDQG5WqI06dDo,498
statsmodels/api.py,sha256=UH0zJzTpEOmRpUiwsvf0bTI0jvwgA40qxSCFCN_5Xa8,2148
statsmodels/conftest.py,sha256=Uj52UUV87EEgRha63K-crAFejoMXAoWFgDQUvJidJjE,3500
statsmodels/setup.cfg,sha256=f7JX_uuaFPkaBp3j0LLQEJY9aUTGoxRh0UUJogrp52w,3663
statsmodels/base/__init__.py,sha256=wmZE4S25YB801cOHgFTsWzJxh5SFeezTBW1HnXfheLo,75
statsmodels/base/_constraints.py,sha256=tnI5qtDERE88NdtEPbFEHe75A1Tv3-yAs6zzYM_6XCw,10624
statsmodels/base/_parameter_inference.py,sha256=_PluvOCoGqWLzAfeichVtU67RFmW6Vcus4en4M19HG0,10119
statsmodels/base/_penalized.py,sha256=dpmTClDbg9Rx8ktjOd3PaRVwNTsqtcDEk4-dnxn3xzE,7574
statsmodels/base/_penalties.py,sha256=B1WKTWpMvOAI79MeOiK2NymY76u1zQFZaZ8_e_D3Mn8,17640
statsmodels/base/_screening.py,sha256=yBBbvI0-0GYUWWURkxMLnB0JGO9KsumYJ736iTJK8Ek,18167
statsmodels/base/covtype.py,sha256=DU8Aw_sQyygB8JLKvbv3JMxdqTi0Eqpgq7h5KzdjavM,15463
statsmodels/base/data.py,sha256=VoBUZOVKaSelaaRhBE1VNVDKO6kwZdAP6MDQkBvIO68,24415
statsmodels/base/distributed_estimation.py,sha256=e-RYKm6TLAYqYBQMt9BuxeGfoPoO7ticc-kqFm5GiLg,22186
statsmodels/base/elastic_net.py,sha256=estGULQg9HVoWIS-zfosfn4HPCVTm_tvfhpW4hB33mg,12711
statsmodels/base/l1_cvxopt.py,sha256=94rYN9cN85p7x-ekWAhc1qzd-_cAwSgatchz6pq9tk8,6562
statsmodels/base/l1_slsqp.py,sha256=p0rejE3C0_88AFTUM-oAjAAO2WVJtzSgMdLegvSLttE,5604
statsmodels/base/l1_solvers_common.py,sha256=TAGd60jMSO0DuB26Dyj7MpsRPFvqjOAsk2Fv_k8c7vI,5582
statsmodels/base/model.py,sha256=Ea8P5mo4SgwNee8HxvOI3CNUWpsnnSqASDxbjfXtE9c,99372
statsmodels/base/optimizer.py,sha256=r8zKqnzTsS7v0TOuu9Qp-jNyn5mSWIJi62CCyiT1yY0,25858
statsmodels/base/transform.py,sha256=yehLL4fguAwzd4zE6RoQQhtSzRozMZdu_bMmL17wIyU,8245
statsmodels/base/wrapper.py,sha256=Znq0GrtKelXiT33GgVp4_EE4lLCBWFbHH8PiwM8gnQo,3646
statsmodels/base/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/base/tests/test_data.py,sha256=ca-xRDlSDJxo7THf0TdJHyDj695lrS4KIfDagCv7XkM,35946
statsmodels/base/tests/test_distributed_estimation.py,sha256=RYfTvDXYI4zh7Vx4OntCAc9mEhBV7ug7pU85Iv2iioY,16034
statsmodels/base/tests/test_generic_methods.py,sha256=Y1q0vcJxjja6A60nF-7u2CXYWGNbpAniBDvIvg2KliQ,29089
statsmodels/base/tests/test_optimize.py,sha256=spCDATd8gfkKgV-HGEZ9yRkKBxcWCdQZi9gCeyftMnY,2243
statsmodels/base/tests/test_penalized.py,sha256=YU-saRP3SiQV3qmTIGdN1QQuxLGDwVJg6nFFspr2MIk,24842
statsmodels/base/tests/test_penalties.py,sha256=DvUw2bnfcO7Il_y08_ZFnT7uVtjRFdOoDiCdKKB1Bvs,4459
statsmodels/base/tests/test_predict.py,sha256=lvHTCbKBUWZH9P_t4ljnKTYCe7oIp5NBAY0Eabqmnp8,5352
statsmodels/base/tests/test_screening.py,sha256=Q7l7uLRLFuSCF1iSBoL7TFBI5cIKXZVf_jd3E77GcLI,11708
statsmodels/base/tests/test_shrink_pickle.py,sha256=H8-xamWtWHzSf4VVN4h2qPGT7NNacVFKnG_ZbyO6jm8,10685
statsmodels/base/tests/test_transform.py,sha256=PZM80Lj7bzGDKrX2NiI-6X0htNF9NY2WNuKtCO95V20,4469
statsmodels/compat/__init__.py,sha256=URFqvQV3FU53J6Vamo0O2AwN4KQhhGL5w8myoOm7zxQ,392
statsmodels/compat/numpy.py,sha256=KOaZJaXEyUB4zzLkFmqjtbEvdhy_q9mEdJS5ob3MOTA,2637
statsmodels/compat/pandas.py,sha256=-JSuo_yvpePoVKsJUcCNxfFknViDhrfKad3NCZMWecs,4038
statsmodels/compat/platform.py,sha256=y-pidSJzZpm6hYnzi9Qs2JDcbudZymAZfqk8ZaFacww,443
statsmodels/compat/python.py,sha256=QO5OfNTt3p3eDfjhAPWksfwSBuPO1bXoy6Bhp4LJ_vc,1731
statsmodels/compat/scipy.py,sha256=UuhxYi8Cb43HBM-K9CapBmV4gUI7mCteaXFSFFeI6t8,3038
statsmodels/compat/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/compat/tests/test_itercompat.py,sha256=cgTJt84h2FADmneAHYwMmBqU-H6Hsm5IJlVRmiSTtQA,1167
statsmodels/compat/tests/test_scipy_compat.py,sha256=xX6_uzipcadTI2kwbz0z4F23ko80NuxWloSwudc64DA,3573
statsmodels/datasets/__init__.py,sha256=JCLOTqNTK7LXeliC6akxqSTyZnhjeoGJEi_QKodsZq0,1017
statsmodels/datasets/template_data.py,sha256=qsE1EDyNIhzWFzf-i7ysn3OaaVWf29_ZtC4oOuT23CQ,1487
statsmodels/datasets/utils.py,sha256=gnaGa83Yj5Dtk1PzHY4_Nzuvp1tYawU-vp7cZMo_ep0,10571
statsmodels/datasets/anes96/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/anes96/anes96.csv,sha256=wSTYVW1vjEMpsf6mHj3GiRxeZj8Vt_5XkSNZY0ILqJY,21590
statsmodels/datasets/anes96/data.py,sha256=inBj1pBOB78cwzTEuSqHYu85IB9bvS_x0X13iD_jEyg,3951
statsmodels/datasets/cancer/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/cancer/cancer.csv,sha256=RtEAGQpXRPOrq1OqsV2AsOmI_qj8ixvzabH8ZGIgk28,2482
statsmodels/datasets/cancer/data.py,sha256=-51OfBt64t9rnP3PS865moXJWUuEC3fhf9wFvUoyHRE,1431
statsmodels/datasets/ccard/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/ccard/ccard.csv,sha256=Whwy5sL5JWFjKR6uN5EFGl-5O3h7HbqKB_qvVDG28Pk,1571
statsmodels/datasets/ccard/data.py,sha256=uHK9dZV8y57idAzWSD4ANe4DlbBUAKVv6nU4tQFxYuw,1621
statsmodels/datasets/china_smoking/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/china_smoking/china_smoking.csv,sha256=80invoSZZs6w7ZFX74QlfChj5M4OlSiURy49dz-oek4,280
statsmodels/datasets/china_smoking/data.py,sha256=5UX0c-8uxXv5ii194h02Mxo_y594SCi8EN_l1Qbrg6A,1832
statsmodels/datasets/co2/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/co2/co2.csv,sha256=FmlfonhuU0FOWmtUdno_313pnPvGhhf2nRNi2Sd2qS8,33974
statsmodels/datasets/co2/data.py,sha256=1mh5MbX0Iz5zAcyzFERpYyOChwHx-Iz0Ya8m4-xeJzY,2630
statsmodels/datasets/committee/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/committee/committee.csv,sha256=_kkTqo7BMiUVwu6kzIYeMTGZBlZ-RtP0FM8-E0JnGZE,712
statsmodels/datasets/committee/data.py,sha256=x7_puFmydrKLp3Xzb9xfmuQ6eWE6GLHLdsMfjLVGQzQ,2571
statsmodels/datasets/copper/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/copper/copper.csv,sha256=WwvHC3TwYEpcuyExHZFoz2TzsVlcgv2bE5XIDau-KL0,982
statsmodels/datasets/copper/data.py,sha256=QaHWrHCMpsRa6hRbC0E0m0I0X0BkKmuw2bFbn3UmiFw,2293
statsmodels/datasets/cpunish/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/cpunish/cpunish.csv,sha256=8gC290ELkk1m6THO5D2DDbeifTmIYpX7rKd455cp1lM,746
statsmodels/datasets/cpunish/data.py,sha256=Ra-TsnHAyliTg2QI1Roq8IktesxQahbh85S94L7nreg,2584
statsmodels/datasets/elec_equip/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/elec_equip/data.py,sha256=eDAiZ0eHXKZfJFSjc-z8ev1QZOAxi8m3Wsz_IsGCaw4,1773
statsmodels/datasets/elec_equip/elec_equip.csv,sha256=-w6Gd0SE0skXk3Q3cEFgD_0l6gI2rq99KTvy31roY2k,4505
statsmodels/datasets/elnino/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/elnino/data.py,sha256=Q4FO35kt5V2sbSCEqokYP6vfxoHrWQF7I43xz00MU40,1718
statsmodels/datasets/elnino/elnino.csv,sha256=tke-AOD9Jkvpdk4xfmuWPzUDABTsyishsgRSFxbkY60,5508
statsmodels/datasets/engel/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/engel/data.py,sha256=C-0CGHqYDph5vKjh1kwA20o3xxPySFlg4G6kfgb7uCo,1625
statsmodels/datasets/engel/engel.csv,sha256=eWw9oEBikd0yTFGQG1E4a-ErX1LjMK-vaVhPV8Bq1Fw,7941
statsmodels/datasets/fair/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/fair/data.py,sha256=ivxUu9HvOUNWfgdi2c_4zDtJc3jehrTkhwh-91XJV4A,2745
statsmodels/datasets/fair/fair.csv,sha256=_V8_CUo0_DXKNGoUw1ngRu0nhDA41pIe_NUKerIfavA,151816
statsmodels/datasets/fair/fair_pt.csv,sha256=RKhA7B-Ca5ETXNDpKdrrXRGhGUt7VOX300wF0gqy1CY,22393
statsmodels/datasets/fertility/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/fertility/data.py,sha256=JBT6gXIhRt9O28EFvywyHVDBamEBxPuMYaa2zEsGnm0,2288
statsmodels/datasets/fertility/fertility.csv,sha256=IhmhsDmy2kbLi3_Q4Wkt5RhR4Cv-5KmW1kx1xGYijig,94455
statsmodels/datasets/grunfeld/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/grunfeld/data.py,sha256=EmVPt-gYWNHDk7E-GypTwY7896E_a-DPcZvFXSseRsY,2573
statsmodels/datasets/grunfeld/grunfeld.csv,sha256=b2yhOOZF7u5v8-VP5bm0mPfdtcSEI30qhInFJLPJQJg,7629
statsmodels/datasets/heart/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/heart/data.py,sha256=cmLscDrd6Do9HCMrLF2Fxl1qs0eyEsjVlPp7Cg_DawY,1566
statsmodels/datasets/heart/heart.csv,sha256=CUGy61GMLIPcwSUaCsYq-wFC_c_wgWEac4xBuzpYDeo,2064
statsmodels/datasets/interest_inflation/E6.csv,sha256=RY7ewJqfa5H8yWobMfC4ifXxUgicE5PRRrguDsC0Hz8,2534
statsmodels/datasets/interest_inflation/E6_jmulti.csv,sha256=jaqC8YjyGT4YzCxDPPWj8_5nRD1Huwc8O5D2GnxEGZs,1759
statsmodels/datasets/interest_inflation/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/interest_inflation/data.py,sha256=UHf6RvUEjggXWSTHAOm-prnQz800Zr5kbmJ-0_xPM7M,1656
statsmodels/datasets/longley/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/longley/data.py,sha256=ptcMeFQqnKpMNXbepqnLlZeXcJ7B8RIXbCKD6YfupgY,1942
statsmodels/datasets/longley/longley.csv,sha256=CSfsfMNO21Zwkgyy_xVC5G3ieiAQdG4WYvQnbPNWmiQ,742
statsmodels/datasets/macrodata/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
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statsmodels/datasets/modechoice/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
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statsmodels/datasets/nile/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
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statsmodels/datasets/randhie/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
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statsmodels/datasets/scotland/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/scotland/data.py,sha256=nBPrHw83zFRYyQ0xAfDer3YURHr0624TXufWAn8ibJk,2990
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statsmodels/datasets/spector/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/spector/data.py,sha256=sBOmJCLf_Vy6joHADCmN0edBeAureuM0ZgavsQVdEDA,2009
statsmodels/datasets/spector/spector.csv,sha256=sQ0Qi6P6lrJ-i7dxrKnOFIqh_em6DJ2AujhLhRtuYZI,497
statsmodels/datasets/stackloss/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/stackloss/data.py,sha256=ifw_j6Vu_YxoezkWK0C0N-PbGLiGa1DJL9eYSQlJa7M,1872
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statsmodels/datasets/statecrime/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/statecrime/data.py,sha256=Vjw-s8olmiSUtFrT5UGkkXcL9OUwjpjXYyG2PZBT7rk,2803
statsmodels/datasets/statecrime/statecrime.csv,sha256=c8iqoSJyy9M6CdD_zaAag18vCRahaq7VRzLvoxJDBog,2369
statsmodels/datasets/strikes/__init__.py,sha256=eZnkT9E7g88N_tjwn4ylSYHaZZLM2xliqTFvIHQEgd8,214
statsmodels/datasets/strikes/data.py,sha256=Go9Tjo-H3rHYJ1N_ORbfAGmd3G8-qvQVavH_gOIQWCg,1895
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statsmodels/datasets/sunspots/sunspots.csv,sha256=9niJsdkALNUifw4O9U41tBnN2FoxJ5re9vc_tB5cCps,2944
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statsmodels/datasets/tests/test_utils.py,sha256=Z7ynFQ3ygJdUSAY3YvobL1bzf514ZHKA9RwS2F-axbA,3313
statsmodels/discrete/__init__.py,sha256=wmZE4S25YB801cOHgFTsWzJxh5SFeezTBW1HnXfheLo,75
statsmodels/discrete/_diagnostics_count.py,sha256=7PDvNqa6jYu477DgpjIsoBxUOAQxDVy2kQJlFN36P_0,10137
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statsmodels/discrete/count_model.py,sha256=gSgrhsCacVfF__ce9y01pbyT2Png6SneHUwL75mvEy4,31304
statsmodels/discrete/discrete_margins.py,sha256=HxVDxMoYuZ2x81XIz4XDv7bodb1NqqYfdxlCfcX5HYk,26795
statsmodels/discrete/discrete_model.py,sha256=RAwfhZ4sT3jGCauwtGWrZMQFYKfWNz4Uf9Adq5EpAe0,153847
statsmodels/discrete/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/discrete/tests/test_conditional.py,sha256=Uw70aM96t6cAIfig-OQAiKLWgKkIwCkAxJqDBOC6jxY,9623
statsmodels/discrete/tests/test_constrained.py,sha256=cvPqJb4cwP0QqY-trpwXDyDNyKH0AloOa7QDWrDIdU8,20513
statsmodels/discrete/tests/test_count_model.py,sha256=pDhJE3l3CF3Gw6EsPn6XFr2Dav7CCPDu8RABpOtNJeg,23404
statsmodels/discrete/tests/test_diagnostic.py,sha256=blY5kInotVIaCMInvZsT8PyXU9IC6_q2kQj3q1UzL6Y,2208
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