Received: by mail.netbsd.org (Postfix, from userid 605) id 0E75F84D66; Sun, 3 May 2020 16:13:14 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id 8987284D47 for ; Sun, 3 May 2020 16:13:13 +0000 (UTC) X-Virus-Scanned: amavisd-new at netbsd.org Received: from mail.netbsd.org ([127.0.0.1]) by localhost (mail.netbsd.org [127.0.0.1]) (amavisd-new, port 10025) with ESMTP id SBetk0ddjjgW for ; Sun, 3 May 2020 16:13:11 +0000 (UTC) Received: from cvs.NetBSD.org (ivanova.NetBSD.org [IPv6:2001:470:a085:999:28c:faff:fe03:5984]) by mail.netbsd.org (Postfix) with ESMTP id D184384CD4 for ; Sun, 3 May 2020 16:13:11 +0000 (UTC) Received: by cvs.NetBSD.org (Postfix, from userid 500) id C5700FB27; Sun, 3 May 2020 16:13:11 +0000 (UTC) Content-Transfer-Encoding: 7bit Content-Type: multipart/mixed; boundary="_----------=_1588522391288970" MIME-Version: 1.0 Date: Sun, 3 May 2020 16:13:11 +0000 From: "Min Sik Kim" Subject: CVS commit: pkgsrc/math/py-statsmodels To: pkgsrc-changes@NetBSD.org Reply-To: minskim@netbsd.org X-Mailer: log_accum Message-Id: <20200503161311.C5700FB27@cvs.NetBSD.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk List-Unsubscribe: This is a multi-part message in MIME format. --_----------=_1588522391288970 Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="US-ASCII" Module Name: pkgsrc Committed By: minskim Date: Sun May 3 16:13:11 UTC 2020 Modified Files: pkgsrc/math/py-statsmodels: Makefile PLIST distinfo Log Message: math/py-statsmodels: Update to 0.11.1 Major Features: - Allow fixing parameters in state space models - Add new version of ARIMA-type estimators (AR, ARIMA, SARIMAX) - Add STL decomposition for time series - Functional SIR - Zivot Andrews test - Added Oaxaca-Blinder Decomposition - Add rolling WLS and OLS - Replacement for AR Performance Improvements: - Cythonize innovations algo and filter - Only perform required predict iterations in state space models - State space: Improve low memory usability; allow in fit, loglike To generate a diff of this commit: cvs rdiff -u -r1.6 -r1.7 pkgsrc/math/py-statsmodels/Makefile cvs rdiff -u -r1.5 -r1.6 pkgsrc/math/py-statsmodels/PLIST cvs rdiff -u -r1.4 -r1.5 pkgsrc/math/py-statsmodels/distinfo Please note that diffs are not public domain; they are subject to the copyright notices on the relevant files. --_----------=_1588522391288970 Content-Disposition: inline Content-Length: 28762 Content-Transfer-Encoding: binary Content-Type: text/x-diff; charset=us-ascii Modified files: Index: pkgsrc/math/py-statsmodels/Makefile diff -u pkgsrc/math/py-statsmodels/Makefile:1.6 pkgsrc/math/py-statsmodels/Makefile:1.7 --- pkgsrc/math/py-statsmodels/Makefile:1.6 Wed Jan 8 01:23:22 2020 +++ pkgsrc/math/py-statsmodels/Makefile Sun May 3 16:13:11 2020 @@ -1,6 +1,6 @@ -# $NetBSD: Makefile,v 1.6 2020/01/08 01:23:22 minskim Exp $ +# $NetBSD: Makefile,v 1.7 2020/05/03 16:13:11 minskim Exp $ -DISTNAME= statsmodels-0.10.2 +DISTNAME= statsmodels-0.11.1 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math python MASTER_SITES= ${MASTER_SITE_PYPI:=s/statsmodels/} Index: pkgsrc/math/py-statsmodels/PLIST diff -u pkgsrc/math/py-statsmodels/PLIST:1.5 pkgsrc/math/py-statsmodels/PLIST:1.6 --- pkgsrc/math/py-statsmodels/PLIST:1.5 Wed Jan 8 01:23:22 2020 +++ pkgsrc/math/py-statsmodels/PLIST Sun May 3 16:13:11 2020 @@ -1,4 +1,4 @@ -@comment $NetBSD: PLIST,v 1.5 2020/01/08 01:23:22 minskim Exp $ +@comment $NetBSD: PLIST,v 1.6 2020/05/03 16:13:11 minskim Exp $ ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt @@ -129,7 +129,6 @@ ${PYSITELIB}/statsmodels/compat/tests/te ${PYSITELIB}/statsmodels/conftest.py ${PYSITELIB}/statsmodels/conftest.pyc ${PYSITELIB}/statsmodels/conftest.pyo -${PYSITELIB}/statsmodels/datasets/README.txt ${PYSITELIB}/statsmodels/datasets/__init__.py ${PYSITELIB}/statsmodels/datasets/__init__.pyc ${PYSITELIB}/statsmodels/datasets/__init__.pyo @@ -189,6 +188,13 @@ ${PYSITELIB}/statsmodels/datasets/cpunis ${PYSITELIB}/statsmodels/datasets/cpunish/data.py ${PYSITELIB}/statsmodels/datasets/cpunish/data.pyc ${PYSITELIB}/statsmodels/datasets/cpunish/data.pyo +${PYSITELIB}/statsmodels/datasets/elec_equip/__init__.py +${PYSITELIB}/statsmodels/datasets/elec_equip/__init__.pyc +${PYSITELIB}/statsmodels/datasets/elec_equip/__init__.pyo +${PYSITELIB}/statsmodels/datasets/elec_equip/data.py +${PYSITELIB}/statsmodels/datasets/elec_equip/data.pyc +${PYSITELIB}/statsmodels/datasets/elec_equip/data.pyo +${PYSITELIB}/statsmodels/datasets/elec_equip/elec_equip.csv ${PYSITELIB}/statsmodels/datasets/elnino/__init__.py ${PYSITELIB}/statsmodels/datasets/elnino/__init__.pyc ${PYSITELIB}/statsmodels/datasets/elnino/__init__.pyo @@ -1103,6 +1109,9 @@ ${PYSITELIB}/statsmodels/regression/quan ${PYSITELIB}/statsmodels/regression/recursive_ls.py ${PYSITELIB}/statsmodels/regression/recursive_ls.pyc ${PYSITELIB}/statsmodels/regression/recursive_ls.pyo +${PYSITELIB}/statsmodels/regression/rolling.py +${PYSITELIB}/statsmodels/regression/rolling.pyc +${PYSITELIB}/statsmodels/regression/rolling.pyo ${PYSITELIB}/statsmodels/regression/tests/__init__.py ${PYSITELIB}/statsmodels/regression/tests/__init__.pyc ${PYSITELIB}/statsmodels/regression/tests/__init__.pyo @@ -1191,6 +1200,9 @@ ${PYSITELIB}/statsmodels/regression/test ${PYSITELIB}/statsmodels/regression/tests/test_robustcov.py ${PYSITELIB}/statsmodels/regression/tests/test_robustcov.pyc ${PYSITELIB}/statsmodels/regression/tests/test_robustcov.pyo +${PYSITELIB}/statsmodels/regression/tests/test_rolling.py +${PYSITELIB}/statsmodels/regression/tests/test_rolling.pyc +${PYSITELIB}/statsmodels/regression/tests/test_rolling.pyo ${PYSITELIB}/statsmodels/regression/tests/test_theil.py ${PYSITELIB}/statsmodels/regression/tests/test_theil.pyc ${PYSITELIB}/statsmodels/regression/tests/test_theil.pyo @@ -1245,9 +1257,6 @@ ${PYSITELIB}/statsmodels/sandbox/archive ${PYSITELIB}/statsmodels/sandbox/bspline.py ${PYSITELIB}/statsmodels/sandbox/bspline.pyc ${PYSITELIB}/statsmodels/sandbox/bspline.pyo -${PYSITELIB}/statsmodels/sandbox/contrast_old.py -${PYSITELIB}/statsmodels/sandbox/contrast_old.pyc -${PYSITELIB}/statsmodels/sandbox/contrast_old.pyo ${PYSITELIB}/statsmodels/sandbox/datarich/__init__.py ${PYSITELIB}/statsmodels/sandbox/datarich/__init__.pyc ${PYSITELIB}/statsmodels/sandbox/datarich/__init__.pyo @@ -1353,9 +1362,6 @@ ${PYSITELIB}/statsmodels/sandbox/distrib ${PYSITELIB}/statsmodels/sandbox/distributions/try_pot.py ${PYSITELIB}/statsmodels/sandbox/distributions/try_pot.pyc ${PYSITELIB}/statsmodels/sandbox/distributions/try_pot.pyo -${PYSITELIB}/statsmodels/sandbox/formula.py -${PYSITELIB}/statsmodels/sandbox/formula.pyc -${PYSITELIB}/statsmodels/sandbox/formula.pyo ${PYSITELIB}/statsmodels/sandbox/gam.py ${PYSITELIB}/statsmodels/sandbox/gam.pyc ${PYSITELIB}/statsmodels/sandbox/gam.pyo @@ -1556,6 +1562,9 @@ ${PYSITELIB}/statsmodels/sandbox/stats/s ${PYSITELIB}/statsmodels/sandbox/stats/tests/__init__.py ${PYSITELIB}/statsmodels/sandbox/stats/tests/__init__.pyc ${PYSITELIB}/statsmodels/sandbox/stats/tests/__init__.pyo +${PYSITELIB}/statsmodels/sandbox/stats/tests/test_multicomp.py +${PYSITELIB}/statsmodels/sandbox/stats/tests/test_multicomp.pyc +${PYSITELIB}/statsmodels/sandbox/stats/tests/test_multicomp.pyo ${PYSITELIB}/statsmodels/sandbox/sysreg.py ${PYSITELIB}/statsmodels/sandbox/sysreg.pyc ${PYSITELIB}/statsmodels/sandbox/sysreg.pyo @@ -1568,9 +1577,6 @@ ${PYSITELIB}/statsmodels/sandbox/tests/m ${PYSITELIB}/statsmodels/sandbox/tests/savervs.py ${PYSITELIB}/statsmodels/sandbox/tests/savervs.pyc ${PYSITELIB}/statsmodels/sandbox/tests/savervs.pyo -${PYSITELIB}/statsmodels/sandbox/tests/test_formula.py -${PYSITELIB}/statsmodels/sandbox/tests/test_formula.pyc -${PYSITELIB}/statsmodels/sandbox/tests/test_formula.pyo ${PYSITELIB}/statsmodels/sandbox/tests/test_gam.py ${PYSITELIB}/statsmodels/sandbox/tests/test_gam.pyc ${PYSITELIB}/statsmodels/sandbox/tests/test_gam.pyo @@ -1610,9 +1616,6 @@ ${PYSITELIB}/statsmodels/sandbox/tsa/exa ${PYSITELIB}/statsmodels/sandbox/tsa/fftarma.py ${PYSITELIB}/statsmodels/sandbox/tsa/fftarma.pyc ${PYSITELIB}/statsmodels/sandbox/tsa/fftarma.pyo -${PYSITELIB}/statsmodels/sandbox/tsa/garch.py -${PYSITELIB}/statsmodels/sandbox/tsa/garch.pyc -${PYSITELIB}/statsmodels/sandbox/tsa/garch.pyo ${PYSITELIB}/statsmodels/sandbox/tsa/movstat.py ${PYSITELIB}/statsmodels/sandbox/tsa/movstat.pyc ${PYSITELIB}/statsmodels/sandbox/tsa/movstat.pyo @@ -1628,9 +1631,6 @@ ${PYSITELIB}/statsmodels/sandbox/tsa/try ${PYSITELIB}/statsmodels/sandbox/tsa/varma.py ${PYSITELIB}/statsmodels/sandbox/tsa/varma.pyc ${PYSITELIB}/statsmodels/sandbox/tsa/varma.pyo -${PYSITELIB}/statsmodels/sandbox/utils_old.py -${PYSITELIB}/statsmodels/sandbox/utils_old.pyc -${PYSITELIB}/statsmodels/sandbox/utils_old.pyo ${PYSITELIB}/statsmodels/setup.cfg ${PYSITELIB}/statsmodels/src/__init__.py ${PYSITELIB}/statsmodels/src/__init__.pyc @@ -1650,6 +1650,9 @@ ${PYSITELIB}/statsmodels/stats/_knockoff ${PYSITELIB}/statsmodels/stats/_lilliefors.py ${PYSITELIB}/statsmodels/stats/_lilliefors.pyc ${PYSITELIB}/statsmodels/stats/_lilliefors.pyo +${PYSITELIB}/statsmodels/stats/_lilliefors_critical_values.py +${PYSITELIB}/statsmodels/stats/_lilliefors_critical_values.pyc +${PYSITELIB}/statsmodels/stats/_lilliefors_critical_values.pyo ${PYSITELIB}/statsmodels/stats/anova.py ${PYSITELIB}/statsmodels/stats/anova.pyc ${PYSITELIB}/statsmodels/stats/anova.pyo @@ -1674,6 +1677,9 @@ ${PYSITELIB}/statsmodels/stats/descripti ${PYSITELIB}/statsmodels/stats/diagnostic.py ${PYSITELIB}/statsmodels/stats/diagnostic.pyc ${PYSITELIB}/statsmodels/stats/diagnostic.pyo +${PYSITELIB}/statsmodels/stats/dist_dependence_measures.py +${PYSITELIB}/statsmodels/stats/dist_dependence_measures.pyc +${PYSITELIB}/statsmodels/stats/dist_dependence_measures.pyo ${PYSITELIB}/statsmodels/stats/gof.py ${PYSITELIB}/statsmodels/stats/gof.pyc ${PYSITELIB}/statsmodels/stats/gof.pyo @@ -1716,6 +1722,9 @@ ${PYSITELIB}/statsmodels/stats/multitest ${PYSITELIB}/statsmodels/stats/multivariate_tools.py ${PYSITELIB}/statsmodels/stats/multivariate_tools.pyc ${PYSITELIB}/statsmodels/stats/multivariate_tools.pyo +${PYSITELIB}/statsmodels/stats/oaxaca.py +${PYSITELIB}/statsmodels/stats/oaxaca.pyc +${PYSITELIB}/statsmodels/stats/oaxaca.pyo ${PYSITELIB}/statsmodels/stats/outliers_influence.py ${PYSITELIB}/statsmodels/stats/outliers_influence.pyc ${PYSITELIB}/statsmodels/stats/outliers_influence.pyo @@ -1751,6 +1760,9 @@ ${PYSITELIB}/statsmodels/stats/tests/res ${PYSITELIB}/statsmodels/stats/tests/results/influence_lsdiag_R.json ${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_R.csv ${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_bool_R.csv +${PYSITELIB}/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py +${PYSITELIB}/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.pyc +${PYSITELIB}/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.pyo ${PYSITELIB}/statsmodels/stats/tests/results/results_influence_logit.csv ${PYSITELIB}/statsmodels/stats/tests/results/results_multinomial_proportions.py ${PYSITELIB}/statsmodels/stats/tests/results/results_multinomial_proportions.pyc @@ -1796,6 +1808,9 @@ ${PYSITELIB}/statsmodels/stats/tests/tes ${PYSITELIB}/statsmodels/stats/tests/test_diagnostic_other.py ${PYSITELIB}/statsmodels/stats/tests/test_diagnostic_other.pyc ${PYSITELIB}/statsmodels/stats/tests/test_diagnostic_other.pyo +${PYSITELIB}/statsmodels/stats/tests/test_dist_dependant_measures.py +${PYSITELIB}/statsmodels/stats/tests/test_dist_dependant_measures.pyc +${PYSITELIB}/statsmodels/stats/tests/test_dist_dependant_measures.pyo ${PYSITELIB}/statsmodels/stats/tests/test_gof.py ${PYSITELIB}/statsmodels/stats/tests/test_gof.pyc ${PYSITELIB}/statsmodels/stats/tests/test_gof.pyo @@ -1826,6 +1841,12 @@ ${PYSITELIB}/statsmodels/stats/tests/tes ${PYSITELIB}/statsmodels/stats/tests/test_nonparametric.py ${PYSITELIB}/statsmodels/stats/tests/test_nonparametric.pyc ${PYSITELIB}/statsmodels/stats/tests/test_nonparametric.pyo +${PYSITELIB}/statsmodels/stats/tests/test_oaxaca.py +${PYSITELIB}/statsmodels/stats/tests/test_oaxaca.pyc +${PYSITELIB}/statsmodels/stats/tests/test_oaxaca.pyo +${PYSITELIB}/statsmodels/stats/tests/test_outliers_influence.py +${PYSITELIB}/statsmodels/stats/tests/test_outliers_influence.pyc +${PYSITELIB}/statsmodels/stats/tests/test_outliers_influence.pyo ${PYSITELIB}/statsmodels/stats/tests/test_pairwise.py ${PYSITELIB}/statsmodels/stats/tests/test_pairwise.pyc ${PYSITELIB}/statsmodels/stats/tests/test_pairwise.pyo @@ -1850,6 +1871,9 @@ ${PYSITELIB}/statsmodels/stats/tests/tes ${PYSITELIB}/statsmodels/stats/tests/test_statstools.py ${PYSITELIB}/statsmodels/stats/tests/test_statstools.pyc ${PYSITELIB}/statsmodels/stats/tests/test_statstools.pyo +${PYSITELIB}/statsmodels/stats/tests/test_tabledist.py +${PYSITELIB}/statsmodels/stats/tests/test_tabledist.pyc +${PYSITELIB}/statsmodels/stats/tests/test_tabledist.pyo ${PYSITELIB}/statsmodels/stats/tests/test_tost.py ${PYSITELIB}/statsmodels/stats/tests/test_tost.pyc ${PYSITELIB}/statsmodels/stats/tests/test_tost.pyo @@ -1925,6 +1949,9 @@ ${PYSITELIB}/statsmodels/tools/tests/tes ${PYSITELIB}/statsmodels/tools/tests/test_decorators.py ${PYSITELIB}/statsmodels/tools/tests/test_decorators.pyc ${PYSITELIB}/statsmodels/tools/tests/test_decorators.pyo +${PYSITELIB}/statsmodels/tools/tests/test_docstring.py +${PYSITELIB}/statsmodels/tools/tests/test_docstring.pyc +${PYSITELIB}/statsmodels/tools/tests/test_docstring.pyo ${PYSITELIB}/statsmodels/tools/tests/test_eval_measures.py ${PYSITELIB}/statsmodels/tools/tests/test_eval_measures.pyc ${PYSITELIB}/statsmodels/tools/tests/test_eval_measures.pyo @@ -1964,6 +1991,21 @@ ${PYSITELIB}/statsmodels/tools/tools.pyo ${PYSITELIB}/statsmodels/tools/transform_model.py ${PYSITELIB}/statsmodels/tools/transform_model.pyc ${PYSITELIB}/statsmodels/tools/transform_model.pyo +${PYSITELIB}/statsmodels/tools/validation/__init__.py +${PYSITELIB}/statsmodels/tools/validation/__init__.pyc +${PYSITELIB}/statsmodels/tools/validation/__init__.pyo +${PYSITELIB}/statsmodels/tools/validation/decorators.py +${PYSITELIB}/statsmodels/tools/validation/decorators.pyc +${PYSITELIB}/statsmodels/tools/validation/decorators.pyo +${PYSITELIB}/statsmodels/tools/validation/tests/__init__.py +${PYSITELIB}/statsmodels/tools/validation/tests/__init__.pyc +${PYSITELIB}/statsmodels/tools/validation/tests/__init__.pyo +${PYSITELIB}/statsmodels/tools/validation/tests/test_validation.py +${PYSITELIB}/statsmodels/tools/validation/tests/test_validation.pyc +${PYSITELIB}/statsmodels/tools/validation/tests/test_validation.pyo +${PYSITELIB}/statsmodels/tools/validation/validation.py +${PYSITELIB}/statsmodels/tools/validation/validation.pyc +${PYSITELIB}/statsmodels/tools/validation/validation.pyo ${PYSITELIB}/statsmodels/tools/web.py ${PYSITELIB}/statsmodels/tools/web.pyc ${PYSITELIB}/statsmodels/tools/web.pyo @@ -1974,6 +2016,8 @@ ${PYSITELIB}/statsmodels/tsa/_bds.py ${PYSITELIB}/statsmodels/tsa/_bds.pyc ${PYSITELIB}/statsmodels/tsa/_bds.pyo ${PYSITELIB}/statsmodels/tsa/_exponential_smoothers.so +${PYSITELIB}/statsmodels/tsa/_innovations.so +${PYSITELIB}/statsmodels/tsa/_stl.so ${PYSITELIB}/statsmodels/tsa/adfvalues.py ${PYSITELIB}/statsmodels/tsa/adfvalues.pyc ${PYSITELIB}/statsmodels/tsa/adfvalues.pyo @@ -1983,6 +2027,108 @@ ${PYSITELIB}/statsmodels/tsa/api.pyo ${PYSITELIB}/statsmodels/tsa/ar_model.py ${PYSITELIB}/statsmodels/tsa/ar_model.pyc ${PYSITELIB}/statsmodels/tsa/ar_model.pyo +${PYSITELIB}/statsmodels/tsa/arima/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/api.py +${PYSITELIB}/statsmodels/tsa/arima/api.pyc +${PYSITELIB}/statsmodels/tsa/arima/api.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.pyo +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.pyc +${PYSITELIB}/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/burg.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/burg.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/burg.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/durbin_levinson.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/durbin_levinson.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/durbin_levinson.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/gls.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/gls.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/gls.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/hannan_rissanen.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/hannan_rissanen.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/hannan_rissanen.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/innovations.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/innovations.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/innovations.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/statespace.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/statespace.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/statespace.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_burg.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_burg.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_burg.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_gls.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_gls.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_gls.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_innovations.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_innovations.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_innovations.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_statespace.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_statespace.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_statespace.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_yule_walker.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/tests/test_yule_walker.pyo +${PYSITELIB}/statsmodels/tsa/arima/estimators/yule_walker.py +${PYSITELIB}/statsmodels/tsa/arima/estimators/yule_walker.pyc +${PYSITELIB}/statsmodels/tsa/arima/estimators/yule_walker.pyo +${PYSITELIB}/statsmodels/tsa/arima/model.py +${PYSITELIB}/statsmodels/tsa/arima/model.pyc +${PYSITELIB}/statsmodels/tsa/arima/model.pyo +${PYSITELIB}/statsmodels/tsa/arima/params.py +${PYSITELIB}/statsmodels/tsa/arima/params.pyc +${PYSITELIB}/statsmodels/tsa/arima/params.pyo +${PYSITELIB}/statsmodels/tsa/arima/specification.py +${PYSITELIB}/statsmodels/tsa/arima/specification.pyc +${PYSITELIB}/statsmodels/tsa/arima/specification.pyo +${PYSITELIB}/statsmodels/tsa/arima/tests/__init__.py +${PYSITELIB}/statsmodels/tsa/arima/tests/__init__.pyc +${PYSITELIB}/statsmodels/tsa/arima/tests/__init__.pyo +${PYSITELIB}/statsmodels/tsa/arima/tests/test_model.py +${PYSITELIB}/statsmodels/tsa/arima/tests/test_model.pyc +${PYSITELIB}/statsmodels/tsa/arima/tests/test_model.pyo +${PYSITELIB}/statsmodels/tsa/arima/tests/test_params.py +${PYSITELIB}/statsmodels/tsa/arima/tests/test_params.pyc +${PYSITELIB}/statsmodels/tsa/arima/tests/test_params.pyo +${PYSITELIB}/statsmodels/tsa/arima/tests/test_specification.py +${PYSITELIB}/statsmodels/tsa/arima/tests/test_specification.pyc +${PYSITELIB}/statsmodels/tsa/arima/tests/test_specification.pyo +${PYSITELIB}/statsmodels/tsa/arima/tests/test_tools.py +${PYSITELIB}/statsmodels/tsa/arima/tests/test_tools.pyc +${PYSITELIB}/statsmodels/tsa/arima/tests/test_tools.pyo +${PYSITELIB}/statsmodels/tsa/arima/tools.py +${PYSITELIB}/statsmodels/tsa/arima/tools.pyc +${PYSITELIB}/statsmodels/tsa/arima/tools.pyo ${PYSITELIB}/statsmodels/tsa/arima_model.py ${PYSITELIB}/statsmodels/tsa/arima_model.pyc ${PYSITELIB}/statsmodels/tsa/arima_model.pyo @@ -2019,6 +2165,12 @@ ${PYSITELIB}/statsmodels/tsa/coint_table ${PYSITELIB}/statsmodels/tsa/descriptivestats.py ${PYSITELIB}/statsmodels/tsa/descriptivestats.pyc ${PYSITELIB}/statsmodels/tsa/descriptivestats.pyo +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/__init__.py +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/__init__.pyc +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/__init__.pyo +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/initialization.py +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/initialization.pyc +${PYSITELIB}/statsmodels/tsa/exponential_smoothing/initialization.pyo ${PYSITELIB}/statsmodels/tsa/filters/__init__.py ${PYSITELIB}/statsmodels/tsa/filters/__init__.pyc ${PYSITELIB}/statsmodels/tsa/filters/__init__.pyo @@ -2164,6 +2316,9 @@ ${PYSITELIB}/statsmodels/tsa/statespace/ ${PYSITELIB}/statsmodels/tsa/statespace/dynamic_factor.py ${PYSITELIB}/statsmodels/tsa/statespace/dynamic_factor.pyc ${PYSITELIB}/statsmodels/tsa/statespace/dynamic_factor.pyo +${PYSITELIB}/statsmodels/tsa/statespace/exponential_smoothing.py +${PYSITELIB}/statsmodels/tsa/statespace/exponential_smoothing.pyc +${PYSITELIB}/statsmodels/tsa/statespace/exponential_smoothing.pyo ${PYSITELIB}/statsmodels/tsa/statespace/initialization.py ${PYSITELIB}/statsmodels/tsa/statespace/initialization.pyc ${PYSITELIB}/statsmodels/tsa/statespace/initialization.pyo @@ -2198,6 +2353,9 @@ ${PYSITELIB}/statsmodels/tsa/statespace/ ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/__init__.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/__init__.pyo ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/clark1989.csv +${PYSITELIB}/statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv +${PYSITELIB}/statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv +${PYSITELIB}/statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/manufac.dta ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py @@ -2253,18 +2411,28 @@ ${PYSITELIB}/statsmodels/tsa/statespace/ ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv ${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv +${PYSITELIB}/statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_collapsed.py ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_collapsed.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_collapsed.pyo ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_concentrated.py ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_concentrated.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_concentrated.pyo +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_conserve_memory.py +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_conserve_memory.pyc +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_conserve_memory.pyo ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.py ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyo ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.pyo +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exponential_smoothing.pyc +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_exponential_smoothing.pyo +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_fixed_params.py +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_fixed_params.pyc +${PYSITELIB}/statsmodels/tsa/statespace/tests/test_fixed_params.pyo ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.py ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.pyc ${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.pyo @@ -2383,11 +2551,13 @@ ${PYSITELIB}/statsmodels/tsa/tests/resul ${PYSITELIB}/statsmodels/tsa/tests/results/datamlw_tls.py ${PYSITELIB}/statsmodels/tsa/tests/results/datamlw_tls.pyc ${PYSITELIB}/statsmodels/tsa/tests/results/datamlw_tls.pyo +${PYSITELIB}/statsmodels/tsa/tests/results/gnpdef.csv ${PYSITELIB}/statsmodels/tsa/tests/results/housing-data.csv ${PYSITELIB}/statsmodels/tsa/tests/results/lutkepohl2.dta ${PYSITELIB}/statsmodels/tsa/tests/results/make_arma.py ${PYSITELIB}/statsmodels/tsa/tests/results/make_arma.pyc ${PYSITELIB}/statsmodels/tsa/tests/results/make_arma.pyo +${PYSITELIB}/statsmodels/tsa/tests/results/rand10000.csv ${PYSITELIB}/statsmodels/tsa/tests/results/resids_css_c.csv ${PYSITELIB}/statsmodels/tsa/tests/results/resids_css_nc.csv ${PYSITELIB}/statsmodels/tsa/tests/results/resids_exact_c.csv @@ -2417,9 +2587,14 @@ ${PYSITELIB}/statsmodels/tsa/tests/resul ${PYSITELIB}/statsmodels/tsa/tests/results/results_process.py ${PYSITELIB}/statsmodels/tsa/tests/results/results_process.pyc ${PYSITELIB}/statsmodels/tsa/tests/results/results_process.pyo +${PYSITELIB}/statsmodels/tsa/tests/results/rgnp.csv +${PYSITELIB}/statsmodels/tsa/tests/results/rgnpq.csv ${PYSITELIB}/statsmodels/tsa/tests/results/savedrvs.py ${PYSITELIB}/statsmodels/tsa/tests/results/savedrvs.pyc ${PYSITELIB}/statsmodels/tsa/tests/results/savedrvs.pyo +${PYSITELIB}/statsmodels/tsa/tests/results/stkprc.csv +${PYSITELIB}/statsmodels/tsa/tests/results/stl_co2.csv +${PYSITELIB}/statsmodels/tsa/tests/results/stl_test_results.csv ${PYSITELIB}/statsmodels/tsa/tests/results/y_arma_data.csv ${PYSITELIB}/statsmodels/tsa/tests/results/yhat_css_c.csv ${PYSITELIB}/statsmodels/tsa/tests/results/yhat_css_nc.csv @@ -2449,6 +2624,9 @@ ${PYSITELIB}/statsmodels/tsa/tests/test_ ${PYSITELIB}/statsmodels/tsa/tests/test_stattools.py ${PYSITELIB}/statsmodels/tsa/tests/test_stattools.pyc ${PYSITELIB}/statsmodels/tsa/tests/test_stattools.pyo +${PYSITELIB}/statsmodels/tsa/tests/test_stl.py +${PYSITELIB}/statsmodels/tsa/tests/test_stl.pyc +${PYSITELIB}/statsmodels/tsa/tests/test_stl.pyo ${PYSITELIB}/statsmodels/tsa/tests/test_tsa_tools.py ${PYSITELIB}/statsmodels/tsa/tests/test_tsa_tools.pyc ${PYSITELIB}/statsmodels/tsa/tests/test_tsa_tools.pyo @@ -2467,9 +2645,6 @@ ${PYSITELIB}/statsmodels/tsa/vector_ar/_ ${PYSITELIB}/statsmodels/tsa/vector_ar/api.py ${PYSITELIB}/statsmodels/tsa/vector_ar/api.pyc ${PYSITELIB}/statsmodels/tsa/vector_ar/api.pyo -${PYSITELIB}/statsmodels/tsa/vector_ar/dynamic.py -${PYSITELIB}/statsmodels/tsa/vector_ar/dynamic.pyc -${PYSITELIB}/statsmodels/tsa/vector_ar/dynamic.pyo ${PYSITELIB}/statsmodels/tsa/vector_ar/hypothesis_test_results.py ${PYSITELIB}/statsmodels/tsa/vector_ar/hypothesis_test_results.pyc ${PYSITELIB}/statsmodels/tsa/vector_ar/hypothesis_test_results.pyo @@ -2701,9 +2876,6 @@ ${PYSITELIB}/statsmodels/tsa/vector_ar/t ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_coint.py ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_coint.pyc ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_coint.pyo -${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_dynamic.py -${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_dynamic.pyc -${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_dynamic.pyo ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_svar.py ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_svar.pyc ${PYSITELIB}/statsmodels/tsa/vector_ar/tests/test_svar.pyo Index: pkgsrc/math/py-statsmodels/distinfo diff -u pkgsrc/math/py-statsmodels/distinfo:1.4 pkgsrc/math/py-statsmodels/distinfo:1.5 --- pkgsrc/math/py-statsmodels/distinfo:1.4 Wed Jan 8 01:23:22 2020 +++ pkgsrc/math/py-statsmodels/distinfo Sun May 3 16:13:11 2020 @@ -1,6 +1,6 @@ -$NetBSD: distinfo,v 1.4 2020/01/08 01:23:22 minskim Exp $ +$NetBSD: distinfo,v 1.5 2020/05/03 16:13:11 minskim Exp $ -SHA1 (statsmodels-0.10.2.tar.gz) = 084998f7bb0b42d48e73820b7f84d5c37782ce2e -RMD160 (statsmodels-0.10.2.tar.gz) = 9b437ff8df046770847ac865d4c4b55b7e1b4e3b -SHA512 (statsmodels-0.10.2.tar.gz) = bd1c0784b0b17a3ca69fef5848f5eea8dcf76b1943599a5e5c285e45b7fcc7e44c0e388f007913d420ff6f3cb66a653d1c43e6e8addef534ff5572fa69ffb54a -Size (statsmodels-0.10.2.tar.gz) = 14065612 bytes +SHA1 (statsmodels-0.11.1.tar.gz) = 2b0ca6d66ec4415e8fe4b501149c901d92f73d9c +RMD160 (statsmodels-0.11.1.tar.gz) = 86d2ea3a9f702c787686b5c7d3e79feb2dc0747d +SHA512 (statsmodels-0.11.1.tar.gz) = 54afe55a23b431154c159f44d284aa093f3368988f0695c0f3fbb206046cdfb171ab2ba51ce94285d567b8536141f93a1ef404b5f7222f1e61264baf0541926d +Size (statsmodels-0.11.1.tar.gz) = 15381516 bytes --_----------=_1588522391288970--