probstats/__init__.py,sha256=G7ozXzKkH3vWMckSCvqKyGiOPIrELMemVEbHrVLRnRU,6284
probstats/_arrays.py,sha256=e_vJj1j00nEHY8deJnBUytV2kljYcm84QhP5AWN9_T0,365
probstats/_data_core.py,sha256=hhd6dAg3rGbBXaepzXtxjFTM0S-VotyuqSZODYCl5SQ,10252
probstats/_data_exponential.py,sha256=OUc-LexhytsuA4gh_KZUuubTB-Nun4mmDfMN51R7ysM,3985
probstats/_data_rolling.py,sha256=BvJvHtv7Cy-ZSPwAAgMR8ZPNHT78A_SjmAwtZnfI82A,8657
probstats/_data_sequence.py,sha256=WpdJTllf7HAIigRFJ8bvmem2K2gVqH-TgZReUeg_fGc,2401
probstats/_data_smoothing.py,sha256=fTW4LPb6WrHcoM9Bh_WmjMDKKhd9tMFZR4F26N35VXM,10691
probstats/_exact_linear_algebra.py,sha256=tata8K5zYiQyyiS9tJdK6vl1EsY3Y074IAtaRDYuogE,2452
probstats/_generic.py,sha256=tveZ691Hf3cPHKmYDwY_QgsiE3pfPGN0yQagxXqaYwA,4600
probstats/_inference_likelihood.py,sha256=kWKLqHnWDdnVNLs1qjktRXVKsb7SAwVD_rnbaqYPdFw,17161
probstats/_inference_nonparametric.py,sha256=d2koaKDWtjOZaV_qQpWDls9oYIOCFYxUA1ER1mwXQQs,11982
probstats/_inference_profile.py,sha256=jbjELxSMfSAbQx5OtrpR2f-sAoKoOf3xMrZ6Gk0Tnk8,6730
probstats/_inference_regression.py,sha256=LMmqNW2r3ysaRSCofsksGho8CvRbfDyMEYJQKZXx3mk,8296
probstats/_inference_resampling.py,sha256=lN4ztScgbg4XHkTixwtWvpTDptWHhXer3Hxqj5mNpek,6604
probstats/_integration.py,sha256=zC6seMoo88DCdCDvDJDh_HCWcsEkRX9GmHqixbSUM7o,3613
probstats/_model_anova.py,sha256=gB4X78JbVOZly0UnTcWQZPisP11a4IiJ4E1MirS9hqE,4484
probstats/_model_design.py,sha256=tRz2Lxxx1xDO5XMWUGZeATa05SU6qbphCwGuk59Nw1g,15015
probstats/_model_glm.py,sha256=2pI8L0120WiNYVfajxTXaEjCuAYhXU_UA4_gXO75DGw,21559
probstats/_model_linear.py,sha256=rDHD1MK5Dq9k1FIokSExarnajLbxbHqbmqoP0v4IbYI,4724
probstats/_model_postfit.py,sha256=sWPj6oNrJEfon1e3c7cPdU3eahRnBluBE4dWumjckk0,12289
probstats/_random_variable_semantics.py,sha256=gi47_6A3e08XQ3jpvv3dCrxnjQG8Q1_NL5gTkjYq64I,6106
probstats/_special.py,sha256=2N0XFhYH2SOBrJRtdsQHJSQZ54n4irmePnwivcmxZgg,2887
probstats/_symbolic_inversion.py,sha256=-Hninj97vqmfbKnyVFyxZU5Aarwlab9EcT_zp4R-I0w,8270
probstats/_symbolic_multivariate.py,sha256=DCuQSgqy83QaYnAminoIvICWW736bRB9ZcibgXNQlvo,11546
probstats/_symbolic_predicates.py,sha256=iCg4mvFC1l22YSnvZGM4k9g0dj3zv8hdjssISx7QlQ4,1086
probstats/_symbolic_recognition.py,sha256=IfFx3dPL5ybPeDfzxdggbUhWcJCjKZwlHWL2D1KVLug,17319
probstats/_symbolic_transforms.py,sha256=ilGT5_muzwVLm-cKC3dXM7ZGFu0ZCchv4vCw1N1gstc,9291
probstats/_tabular.py,sha256=9d1IINKy_sUGfkIXlaSiHesKOBqDl6HJIF6tK-IRxuY,2559
probstats/_testing_core.py,sha256=5FbsYcAZcMrz5dfW00SKRnEWRTREW8tgKryiVWQa4Zw,1567
probstats/_testing_dependence.py,sha256=Hem0e8Of43EMAzoyHl0p4LGJfOmDPsnTP3dJR7rom0U,9813
probstats/_testing_diagnostics.py,sha256=cGZ2ftHdUzrF72iF2EpjzlB4qta_tOjsQd3VJSJkNYY,8167
probstats/_testing_parametric.py,sha256=m0Wrgw2EmWtEq0c5fACOpsD_05lnDJ5LDiuv0aBCS1o,8412
probstats/_testing_variance.py,sha256=31x-rW7Df8YxQmLLJbF16sEY0cJcHhe8Di_wl8RSDSs,10413
probstats/_transformation_certification.py,sha256=6tWnbr7Gdel9Hjz7tMAsxhcqJMw1bQBM_l-wWc511vE,8361
probstats/_validation.py,sha256=EnxbTJelYWw8u9NQAbn411GsHj5ZvwmAMfcA96xEA4w,1459
probstats/_version.py,sha256=VDsBswzfU7gNsBkIaxxV6tsi0ixlms3WjN7HYgZJZ2g,46
probstats/algebra.py,sha256=51ChEtMjYr9hYUmrIQ3XBQYef3p1fk8YJIjLzXD7iyw,19733
probstats/assumptions.py,sha256=nKf_icZsVh1zzwiyc1KsmjLaHyJnkSQavs8cEsbLPT0,22584
probstats/composition.py,sha256=t2O7SYS7I36kWEClDXVIvqjErTayou6bpqB6pvt5TWg,19816
probstats/data.py,sha256=o4_HxiLHHO_IB0dnsDDoQQxWB4ztYE7qMG3xooPKTXQ,1760
probstats/descriptive.py,sha256=p-MAYNgeTr73rMImb2af-5LtUjj_42sPHN9leDo3FuI,8160
probstats/estimation.py,sha256=Fg9c11sFCXnr_aXVqGQJFaZEDHhTslaeJUzSEBDWGVU,5646
probstats/events.py,sha256=Ro09sV-hn8h-v9yIuM5akBrfmSyc7w7Hh0Pc6LzIdsg,7352
probstats/functionals.py,sha256=PRS6aQvmfCK6v_FJGOqFaTM3wIvaUOJq3KIQMHZL8-o,32994
probstats/inference.py,sha256=MgETlmcrMS3IwfRelhv6gSS4SXbNqH4dp3R1yuOKYkw,1928
probstats/information.py,sha256=xwR1uwXznFjKqtNdEGPHKel_oOH-K12RnN-eapHkohc,28837
probstats/information_registry.py,sha256=_uAQxNCeAY2B8dBRBG2S6A4nLWkFN0HXzxeG2nPaWDQ,20913
probstats/joint.py,sha256=FgxcATQIqxjnornPqWoV_eP_GUwTB6GhuvDpkgP1OX8,31797
probstats/modeling.py,sha256=xsS1bnEOqW-Ib4aGYcbNYy9jDIEYG7SZJxEm-FTyt5A,1923
probstats/probability_algebra.py,sha256=4YHsFL7JmEGZ6yNKRv036UrYn1pZb1LVl20bkq4H4mM,3228
probstats/random_matrix.py,sha256=MTYjh9eo71a9JPUPTaxzKoT4PupeZH2-pl6kEvyxmis,26292
probstats/random_variable_algebra.py,sha256=tfueuqitfzoz-zXq5E3qJJZhRerpByNn5uS2fx70_KU,12301
probstats/random_variable_approximations.py,sha256=9O6J5qJp360N2CSAdY8AF4zCY1sEeAEnXxLuk4hW41A,5721
probstats/random_variable_complex.py,sha256=2jnEiJAfCS5aLRvrJGy1JrAz_XRYTN1DbLe9nTwba6Q,5025
probstats/random_variable_conditional.py,sha256=Ql3JDvU5ic3bVSbev7SQUUAaORTN4RrZ-IVAxHNFRT8,9786
probstats/random_variable_distributions.py,sha256=IG0xQYsnZDptxVDZdtjTs7bi6g6vPMS287nvsv16Atw,6178
probstats/random_variable_information.py,sha256=Z76Ql_dVPJGoSpk4olhP2pzb_Ibl9fqEnVydPQsqv0Q,5950
probstats/random_variable_statistics.py,sha256=ydGyS10Sqq8jRHIiCuhNRqNkS9fC6s7729I_3Wm2VKI,4731
probstats/random_variable_transforms.py,sha256=qtKeq13i1I0fZBzw0bjOIDCLw9mH_1Cut0BinNwUiqU,7242
probstats/random_variables.py,sha256=AZwYhvKOBLw9r9-5f9Q7acUtOGcAoUbb5TUx2tK5Y1g,2811
probstats/results.py,sha256=nWmwH1jRy7XUQkseLar5U_tai_SqLLjn71piVOd1JLE,2670
probstats/sampling.py,sha256=Jso2xmV5IyEqSMEb0c4q3YbL_IQqM4nwytUn8PrX_KU,17809
probstats/smoothing.py,sha256=iOn7cd5buX2mIE67Nky4Ekry5DxVuLLDLSBGyjoAwbY,766
probstats/solver.py,sha256=igLZPyeZe3jz261Xvuan12wZrH1pbdZPJpW8oFZWtMk,5461
probstats/spaces.py,sha256=pDOsqwlMsiRr9-MuHGF_u1d28oKbzj-aO1XnSC5RRlc,17514
probstats/stats.py,sha256=ah_E1FpGOFnuyWhITpsWgC4sL0FMWH8Mf1iSmRMLo40,3253
probstats/survival.py,sha256=bRc-ROD2V1Cj8ld-9a2XolP3-__91X4y1fvzSEvAVrs,16685
probstats/survival_regression.py,sha256=KnDlaGOwOlnh89gMJXqRjQBbtQsbb2bdMx1HY6AxLS8,26345
probstats/symbolic.py,sha256=mz3b2-f1IF0JUCe4eeyC5uL9Swyoc9SFRAgnN1bgEq8,1589
probstats/testing.py,sha256=xRLqsNNOjJmzJNj7ZFRS5pyZs4xeCty6ifa8M4wvV5Y,2181
probstats/transforms.py,sha256=djkEhWd0NYSkfGEbZ6JVSLLRG0rGw-owkMoHWjZrFEY,22873
probstats/u_statistics.py,sha256=oeUSfB8mVUzXVOu_uPPI5uSwrcxgnb-lJ9_idky_eJA,9546
probstats/algebraic/__init__.py,sha256=Ynh7n0lhV3EqjiV9wBfE-db4tQNkUP_EkRATKo-RFR4,4363
probstats/algebraic/_dependencies.py,sha256=N3QHq61H8Otdx319cXwVfuAKrefS4aQt-fw05g05-Fk,4855
probstats/algebraic/_latent_fit.py,sha256=bj6GjhRnXkakjElWaRDoItF5wx4FU2z4p30mn_f9jr8,3588
probstats/algebraic/_latent_geometry.py,sha256=RjxS_bqwr0zSGGcpnkENZd5VYd6Or6_Zq_89Ty8QEHk,11586
probstats/algebraic/_moment_decomposition.py,sha256=PlVn1hudaG3mDskVfPjDiDJYQ-MUda_V-kBHeFYShJw,9307
probstats/algebraic/_moment_statistics.py,sha256=CxuadvF2QeUu2_3kPfQdoWI84QuNP2jqpDxYYbNeLUk,9407
probstats/algebraic/_tolerances.py,sha256=9NoZkp1hcr9h3KVuwSPlIRTx6RhuDLEuEZ0Yh5reQBs,1485
probstats/algebraic/_validation.py,sha256=Y_45DG7IeOSs1sCs6TCT9yczxqZqPNtVsyMyXCcm2Jo,2299
probstats/algebraic/conditional.py,sha256=RYDwd6TUxzTk2y_q1ZMP0ozgBXSciTxtyoMb_qjqUAs,3458
probstats/algebraic/fibers.py,sha256=lfmitZ5m1x3Nc-jDzOiyOBvrBZg52pOP28E9dhO_ouk,6883
probstats/algebraic/independent.py,sha256=2xJrf4QqNoWbe5VEsCisS30KRXZtVDDnw9kdsUm8uFw,5047
probstats/algebraic/latent.py,sha256=MqzW9h9ik_qJIlxZzIULS8y1K_YGGbkyw8Ux3cPaBEE,491
probstats/algebraic/likelihood.py,sha256=r_grTesjmqYVHVeaVJAwABnY49ZaZUkrdto_T1PoCVk,12406
probstats/algebraic/models.py,sha256=Pa8GCCnn4qQCgZm3PbZR6O8elsVFYgMkHhBBiSwmfHY,7435
probstats/algebraic/moments.py,sha256=ViDls4xQ3cwEr_KX49asaSvdRzfuQZGg_r1UVX4Nz80,774
probstats/algebraic/tables.py,sha256=c2lqgO6g15vGcTIPiWx2YFddWzUhy96MMownY05h7rA,3022
probstats/algebraic/tensors.py,sha256=wHxhEhRTudIZxBhYSvLmek3e_GeZH4xYeAsSHG329Xo,6992
probstats/algebraic/toric.py,sha256=2EOaHObP-UME2tGlZLbIioeBzNhP59A15W3Gsh88R-M,5124
probstats/algebraic/testing/__init__.py,sha256=X_pH3nrVcRogWiMrBklQtZ3g5tZrg3yV5ZDpHzpfEeM,1861
probstats/algebraic/testing/_validation.py,sha256=c2GZ6dpChx7KKENkL1vwnw1CQYLQCz_sLV5e6iT4OE4,2267
probstats/algebraic/testing/bootstrap.py,sha256=sWMbobEYCqjUiq2WwzCCcEvr8I6TnuQt5xl7Yf3qpt4,6181
probstats/algebraic/testing/constraints.py,sha256=gC9yoNY4OkTMe29LldnieaPBw9NMDfH49ikov50W-Es,5684
probstats/algebraic/testing/diagnostics.py,sha256=tMezmVXrg2UAd5z6lSie7CIlokO99VTuE1x9HuBvwB4,7550
probstats/algebraic/testing/hypotheses.py,sha256=YyBuEGCuOQMMylqa2sHdxMRMBOv6TkqokhQLx95cAvQ,11747
probstats/algebraic/testing/kernels.py,sha256=XQqG7PuCsPjNL7vx59hNmCv6fDAaccCy5ZGqu4hbGtU,8989
probstats/algebraic/testing/reducible.py,sha256=uY1VwS-ZLD1rVQtNA5meTe39Y31wWrbWvnpa5f6GzVY,4863
probstats/algebraic/testing/sdl.py,sha256=eJd7P6gHt1yJhBuSuDFKfipLDmJenBhL3mg95tHsSPw,5955
probstats/algebraic/testing/statistics.py,sha256=5wv_xQo6wmBi5avYdrv5rYEubftJUoKpA2HP9T1mp80,7533
probstats/algebraic/testing/trinomial.py,sha256=5Kgs0ZfDjwv0hjgHIjcm0bx6PvnJ4SvD013QKhWJcVQ,6253
probstats/bayes/__init__.py,sha256=Cp11FjOXZgyCiLiVm8hKdk1E-Lx2jmE_TbvvY3g18mo,3812
probstats/bayes/comparison.py,sha256=u_-XhEZZp6SLAcw1H5jya_7z5mW46-MAjI3bnw4xeYE,4486
probstats/bayes/predictive.py,sha256=fibdN6TS7f7iT3y5i27RLJjVFOZtEHUJ8NqU4Lbnq1M,6918
probstats/bayes/certification/__init__.py,sha256=1isbLRztCkmzb_iSFRnnGfhGTq1_UcVI3yUY0uEbHsU,264
probstats/bayes/certification/core.py,sha256=YbSF6p5BkThSaRqtOldcktmufYdShoWLza1-nTPOVz8,4603
probstats/bayes/conjugacy/__init__.py,sha256=pm-HoOFHJBbEthuzrnnBPvGTfM7sSBFOlwDZdXrH1VI,1308
probstats/bayes/conjugacy/base.py,sha256=Qkk2OTbNG4vUDz1p0nogG3xtrE8xFPO77xcmIqMu-QU,4519
probstats/bayes/conjugacy/multivariate.py,sha256=2387hu0HD1Ji6EIUpjkUnKXU611qlHL2ri8iF9qlswc,6627
probstats/bayes/conjugacy/normal.py,sha256=sppdaU8OFBo9HZaygtRTxZeQaLx0cq6AdK3DeSfnszg,3485
probstats/bayes/conjugacy/registry.py,sha256=gZUp_cU3GJsXoSntPX8D004DEuzch9l6qE0Nr-BSFIY,6858
probstats/bayes/conjugacy/standard.py,sha256=HyrYDgaltOZV0GzUwf0aoWsPIhBEiuOxJ_6k7Bbews8,6119
probstats/bayes/core/__init__.py,sha256=T7LfKnnYkk4XkxfTXDlPkplIZm2GwYVuKHxNXHtm9Hc,725
probstats/bayes/core/backend.py,sha256=pGjCVIgXvw6CW1n5VPwHF9-VN2qVFbAopDd7m1i6KwQ,1950
probstats/bayes/core/exceptions.py,sha256=tTS16iuQyar6EZ9Nzgyqx93TyLN-II-ACErh3ithT3M,390
probstats/bayes/core/factor.py,sha256=ClFOKI4Fcrrkhv1xBq5hFXkbhRCMTyyeVirCmsNucic,2222
probstats/bayes/core/model.py,sha256=2HVzmK5D7YileSHA0uRNUEbD8nY8h26vOgS_3wKpnvE,8341
probstats/bayes/core/result.py,sha256=x_flx3KJmCA4hZkD2PE74jzL4vQpKPncSxsAsKd1Xqg,4579
probstats/bayes/core/variable.py,sha256=XIDJLUqbj2zNIrh8oM-vIJo6xBOnob3_mBQVVArqGig,1645
probstats/bayes/diagnostics/__init__.py,sha256=s3PLFW_3EvYI0Zogvckd8U1iw-43dLz9Jfp2ej9FVf0,619
probstats/bayes/diagnostics/core.py,sha256=O6mSpeJ86kE9lDmnQh4urPxV_yfBwBy44jyMjuFYUaM,22678
probstats/bayes/distributions/__init__.py,sha256=FMzatB2urENg1hjhG0I6EDwum3zSRtd-Ln_rEi9La7w,831
probstats/bayes/distributions/base.py,sha256=ZDGQt8j7zL8rqcKIL4E4W4O9BbL1pmjaf5MLwdIx9g0,279
probstats/bayes/distributions/exponential_family.py,sha256=gSi8TB3dfjlbeeAH3qwhJm0A-5tQw1i-uktzNxIaOdg,371
probstats/bayes/distributions/student_t.py,sha256=Tj3Bu1Bm2ZPcK5VFavXb_G0Hy0rW72NlXmJPmH33MFo,184
probstats/bayes/empirical_bayes/__init__.py,sha256=KBwe47LVcG0iNjGJMRLle5u6Q-iMT4K-Eacc0QeykM8,809
probstats/bayes/empirical_bayes/core.py,sha256=u8MqRmZcC8Rdprw4aOX_i0iegaZT33QOBYU5kX_EGyQ,26708
probstats/bayes/exact/__init__.py,sha256=0MbinX3daxotGxzacR_q7ixKbIRSKqB_7RXBlACez04,936
probstats/bayes/exact/backends.py,sha256=5ckdyGahMpmab26a4VXVjSUXzi9IZqQqtazs7d0vEVw,6181
probstats/bayes/exact/inference.py,sha256=ZVGhtkwCIKKB3JxdxaE7SFtprrHrzsoZPZB3ndOR6uM,7929
probstats/bayes/exact/routing.py,sha256=qUAIlFjiyjA4YBgxxoxGJN2y3OmNucZYqUCrj9JIpm0,3499
probstats/bayes/exact/symbolic.py,sha256=yH_EQHTl3IW7adOFGi2VurMoyitezqsSmGGZIzsgrUQ,7158
probstats/bayes/gp/__init__.py,sha256=pYrEC-_lTP_ZUWzRJXXlBSvFc0hVrf-47pTSawgRF8o,805
probstats/bayes/gp/core.py,sha256=ruH6e47xEbtCYl4HJgnNnJe4cMmVou5P0odMSbd2rUg,17480
probstats/bayes/laplace/__init__.py,sha256=RTvD3cTCLjxil6J2EtCsBhXRT-saiSc_oJtWAnMM32Q,1205
probstats/bayes/laplace/asymptotic.py,sha256=2gYxbGTkKPUftfQ0TB78Zg2ctm5gx4b8RJWBvPegh-Y,14566
probstats/bayes/laplace/backends.py,sha256=ksLgn16m4Rjq7nG5UhfMMtJnZ_bGzK4xE-1ETyBJq5w,23964
probstats/bayes/laplace/core.py,sha256=u75sJgKgY3ozJSCgdUHlTvcApcaIN5lP8krdGZwkdGc,24161
probstats/bayes/mcmc/__init__.py,sha256=aeFKDbzFFhFlwAh-5VRJtvgaSBKKrJe5umNbVLAkoDk,1249
probstats/bayes/mcmc/core.py,sha256=kdFQQN8auSzdmgmYV_b8iN9ci6s_XB24h_30VMhf7ac,33172
probstats/bayes/mcmc/diagnostics.py,sha256=Cigt7DojHrQaMJe-bJzDQQIfA59z6Qtf0PJliXqInrc,6512
probstats/bayes/mcmc/model.py,sha256=cdguZXzSj9YAyu3pLBRb6wm-_iQz-_D-1obZG48QMYY,4639
probstats/bayes/models/__init__.py,sha256=OVj6H6EzsT7FjKa4-QLhV4hCMb87xNcxMoLyEHjpvY8,603
probstats/bayes/models/linear.py,sha256=YstskR1cRxN92knkIOz5EmXNYkvLDoPJPk9z4e6y3Fo,10750
probstats/bayes/models/multivariate_linear.py,sha256=OCcDsSlzk1XDkkYxWAVtXPpfVHqoW2Yq8sZgadEzMQ0,18999
probstats/bayes/nested/__init__.py,sha256=nGMYZhCUPqZgesYwM47k4IF3zynTp3W_9Q4KXOuGqoo,846
probstats/bayes/nested/core.py,sha256=-2MfF3Hg3bEbS8bN3oPhvj2mIRA7tn1QSJ0tWvgTMD4,25156
probstats/bayes/nested/model.py,sha256=nfte-jdXph-sSsk04026n_O2FJOCO2jCzXeMaeZPO_Y,2986
probstats/bayes/neural/__init__.py,sha256=gn3CiX0dhpClgQCr1_fvbpF-4Zx1Xr6jQfVCqM968bM,1215
probstats/bayes/neural/core.py,sha256=MAAPa5JLXN44f7LVjeL9lYZDbsgoGHyPhWis0mg4MFU,24160
probstats/bayes/planner/__init__.py,sha256=ogBKQN4nZMgCzvkSYNuH7YHWpZW7F4CEOXK0kuo7oo8,412
probstats/bayes/planner/assessment.py,sha256=Fzf9YkWdWVYmw2za3-1Dk9ALTrNUwYmg0MQUGHb_YQM,3821
probstats/bayes/planner/core.py,sha256=AQ1tTP3yzijRayguqIcMa2HNgsLZed-JemDoUpkfAP8,22531
probstats/bayes/planner/types.py,sha256=HRBC-gTu59Pvl-JRD4ZLuXUjTHm0qz73MupsLHZbMm4,2348
probstats/bayes/reasoning/__init__.py,sha256=EEmIRWnIcNwrxt-gIJ8NwxGj-6_BOc1n9E1kyxE8Yk0,673
probstats/bayes/reasoning/core.py,sha256=ysz0iYelP1ZrcNIOU7e-pQGJWoQCjOeGMUgjFRygOgM,18628
probstats/distributions/__init__.py,sha256=9WFsRmqrW58UTC9cRrcQWToA5S69muOqu72Ri0Ox2QY,3033
probstats/distributions/advanced.py,sha256=fNSC2I80F90vSjG6RiBie4pcJj5ZNu8qJ8sU7T9km0s,38799
probstats/distributions/base.py,sha256=H66N5PdBczLv-8WXjuGHwGXRY4G76qfFts5_DqewQ7s,11747
probstats/distributions/basic.py,sha256=EKrxGVFHsp6Zp2QGIpM7PURG_41Vyr8uED_c4F8U9Wo,21052
probstats/distributions/derived.py,sha256=7qY83inr9qPSrlHCg31lRjd0cI19eWVeAKSZYYS4-d8,21187
probstats/distributions/exponential_family.py,sha256=GPO5BLsQPo5h9el3ygZtj7-wAuCzbkhD3Q9e7qqEHEc,16241
probstats/distributions/matrix.py,sha256=3CZIEZO1ZyEazleh6VyIJgySxYmFLQ4xpAR3iBnDPMY,11268
probstats/distributions/nonparametric.py,sha256=ltmY1HczzZFPUMXwMU0vx5Ifsod59QE77S1FAh8sRCM,18842
probstats/distributions/standard.py,sha256=RGSe0NtljcayiYyP1Hhi2jA6GP7hq_QdZsSYpZJu8s0,25047
probstats/distributions/student_t.py,sha256=m2fJxLjK7DAQpcYm9bSBKShnMc3Ytf5hGc-Fop5c2u0,7418
probstats-0.1.0.dist-info/licenses/LICENSE,sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY,35149
probstats-0.1.0.dist-info/METADATA,sha256=8EC41l_KP7e7ir-U6gGLmmmOGVx7lDXCZNXE1px-hEY,26932
probstats-0.1.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
probstats-0.1.0.dist-info/top_level.txt,sha256=5RrKsMz0BLnvVbx6a9atntshXKjLW5Wheaz10yyqu_4,10
probstats-0.1.0.dist-info/RECORD,,
