Sun May 21 09:07:37 2017 UTC ()
Release 0.8.0

The main features of this release are several new time series models based on the statespace framework, multiple imputation using MICE as well as many other enhancements. The codebase also has been updated to be compatible with recent numpy and pandas releases.

Statsmodels is using now github to store the updated documentation which is available under http://www.statsmodels.org/stable for the last release, and http://www.statsmodels.org/dev/ for the development version.


(adam)
diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/Makefile
diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/PLIST
diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/distinfo
cvs diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/Makefile (expand / switch to unified diff)

--- pkgsrc/math/py-statsmodels/Makefile 2016/07/15 07:35:50 1.1
+++ pkgsrc/math/py-statsmodels/Makefile 2017/05/21 09:07:37 1.2
@@ -1,20 +1,20 @@ @@ -1,20 +1,20 @@
1# $NetBSD: Makefile,v 1.1 2016/07/15 07:35:50 wiz Exp $ 1# $NetBSD: Makefile,v 1.2 2017/05/21 09:07:37 adam Exp $
2 2
3DISTNAME= statsmodels-0.8.0rc1 3DISTNAME= statsmodels-0.8.0
4PKGNAME= ${PYPKGPREFIX}-${DISTNAME} 4PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
5CATEGORIES= math 5CATEGORIES= math
6MASTER_SITES= ${MASTER_SITE_PYPI:=s/statsmodels/} 6MASTER_SITES= ${MASTER_SITE_PYPI:=s/statsmodels/}
7 7
8MAINTAINER= jihbed.research@gmail.com 8MAINTAINER= jihbed.research@gmail.com
9HOMEPAGE= http://statsmodels.sourceforge.net/ 9HOMEPAGE= http://statsmodels.sourceforge.net/
10COMMENT= Statistical computations and models for use with SciPy 10COMMENT= Statistical computations and models for use with SciPy
11LICENSE= modified-bsd 11LICENSE= modified-bsd
12 12
 13DEPENDS+= ${PYPKGPREFIX}-cython>=0.14.1:../../devel/py-cython
13DEPENDS+= ${PYPKGPREFIX}-pandas>=0.14.1:../../math/py-pandas 14DEPENDS+= ${PYPKGPREFIX}-pandas>=0.14.1:../../math/py-pandas
14DEPENDS+= ${PYPKGPREFIX}-patsy>=0.3.0:../../math/py-patsy 15DEPENDS+= ${PYPKGPREFIX}-patsy>=0.3.0:../../math/py-patsy
15DEPENDS+= ${PYPKGPREFIX}-scipy>=0.12.0:../../math/py-scipy 16DEPENDS+= ${PYPKGPREFIX}-scipy>=0.12.0:../../math/py-scipy
16 17
17.include "../../devel/py-cython/buildlink3.mk" 
18.include "../../lang/python/egg.mk" 18.include "../../lang/python/egg.mk"
19.include "../../math/py-numpy/buildlink3.mk" 19.include "../../math/py-numpy/buildlink3.mk"
20.include "../../mk/bsd.pkg.mk" 20.include "../../mk/bsd.pkg.mk"
cvs diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/PLIST (expand / switch to unified diff)

--- pkgsrc/math/py-statsmodels/PLIST 2016/07/15 07:35:50 1.1
+++ pkgsrc/math/py-statsmodels/PLIST 2017/05/21 09:07:37 1.2
@@ -1,14 +1,14 @@ @@ -1,14 +1,14 @@
1@comment $NetBSD: PLIST,v 1.1 2016/07/15 07:35:50 wiz Exp $ 1@comment $NetBSD: PLIST,v 1.2 2017/05/21 09:07:37 adam Exp $
2${PYSITELIB}/${EGG_INFODIR}/PKG-INFO 2${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
3${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt 3${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
4${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt 4${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
5${PYSITELIB}/${EGG_INFODIR}/not-zip-safe 5${PYSITELIB}/${EGG_INFODIR}/not-zip-safe
6${PYSITELIB}/${EGG_INFODIR}/requires.txt 6${PYSITELIB}/${EGG_INFODIR}/requires.txt
7${PYSITELIB}/${EGG_INFODIR}/top_level.txt 7${PYSITELIB}/${EGG_INFODIR}/top_level.txt
8${PYSITELIB}/statsmodels/__init__.py 8${PYSITELIB}/statsmodels/__init__.py
9${PYSITELIB}/statsmodels/__init__.pyc 9${PYSITELIB}/statsmodels/__init__.pyc
10${PYSITELIB}/statsmodels/__init__.pyo 10${PYSITELIB}/statsmodels/__init__.pyo
11${PYSITELIB}/statsmodels/api.py 11${PYSITELIB}/statsmodels/api.py
12${PYSITELIB}/statsmodels/api.pyc 12${PYSITELIB}/statsmodels/api.pyc
13${PYSITELIB}/statsmodels/api.pyo 13${PYSITELIB}/statsmodels/api.pyo
14${PYSITELIB}/statsmodels/base/__init__.py 14${PYSITELIB}/statsmodels/base/__init__.py
@@ -1503,26 +1503,29 @@ ${PYSITELIB}/statsmodels/stats/tabledist @@ -1503,26 +1503,29 @@ ${PYSITELIB}/statsmodels/stats/tabledist
1503${PYSITELIB}/statsmodels/stats/tabledist.pyo 1503${PYSITELIB}/statsmodels/stats/tabledist.pyo
1504${PYSITELIB}/statsmodels/stats/tests/__init__.py 1504${PYSITELIB}/statsmodels/stats/tests/__init__.py
1505${PYSITELIB}/statsmodels/stats/tests/__init__.pyc 1505${PYSITELIB}/statsmodels/stats/tests/__init__.pyc
1506${PYSITELIB}/statsmodels/stats/tests/__init__.pyo 1506${PYSITELIB}/statsmodels/stats/tests/__init__.pyo
1507${PYSITELIB}/statsmodels/stats/tests/results/__init__.py 1507${PYSITELIB}/statsmodels/stats/tests/results/__init__.py
1508${PYSITELIB}/statsmodels/stats/tests/results/__init__.pyc 1508${PYSITELIB}/statsmodels/stats/tests/results/__init__.pyc
1509${PYSITELIB}/statsmodels/stats/tests/results/__init__.pyo 1509${PYSITELIB}/statsmodels/stats/tests/results/__init__.pyo
1510${PYSITELIB}/statsmodels/stats/tests/results/bootleg.csv 1510${PYSITELIB}/statsmodels/stats/tests/results/bootleg.csv
1511${PYSITELIB}/statsmodels/stats/tests/results/contingency_table_r_results.csv 1511${PYSITELIB}/statsmodels/stats/tests/results/contingency_table_r_results.csv
1512${PYSITELIB}/statsmodels/stats/tests/results/framing.csv 1512${PYSITELIB}/statsmodels/stats/tests/results/framing.csv
1513${PYSITELIB}/statsmodels/stats/tests/results/influence_lsdiag_R.json 1513${PYSITELIB}/statsmodels/stats/tests/results/influence_lsdiag_R.json
1514${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_R.csv 1514${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_R.csv
1515${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_bool_R.csv 1515${PYSITELIB}/statsmodels/stats/tests/results/influence_measures_bool_R.csv
 1516${PYSITELIB}/statsmodels/stats/tests/results/results_multinomial_proportions.py
 1517${PYSITELIB}/statsmodels/stats/tests/results/results_multinomial_proportions.pyc
 1518${PYSITELIB}/statsmodels/stats/tests/results/results_multinomial_proportions.pyo
1516${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.py 1519${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.py
1517${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.pyc 1520${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.pyc
1518${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.pyo 1521${PYSITELIB}/statsmodels/stats/tests/results/results_panelrobust.pyo
1519${PYSITELIB}/statsmodels/stats/tests/results/results_power.py 1522${PYSITELIB}/statsmodels/stats/tests/results/results_power.py
1520${PYSITELIB}/statsmodels/stats/tests/results/results_power.pyc 1523${PYSITELIB}/statsmodels/stats/tests/results/results_power.pyc
1521${PYSITELIB}/statsmodels/stats/tests/results/results_power.pyo 1524${PYSITELIB}/statsmodels/stats/tests/results/results_power.pyo
1522${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.py 1525${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.py
1523${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.pyc 1526${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.pyc
1524${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.pyo 1527${PYSITELIB}/statsmodels/stats/tests/results/results_proportion.pyo
1525${PYSITELIB}/statsmodels/stats/tests/test_anova.py 1528${PYSITELIB}/statsmodels/stats/tests/test_anova.py
1526${PYSITELIB}/statsmodels/stats/tests/test_anova.pyc 1529${PYSITELIB}/statsmodels/stats/tests/test_anova.pyc
1527${PYSITELIB}/statsmodels/stats/tests/test_anova.pyo 1530${PYSITELIB}/statsmodels/stats/tests/test_anova.pyo
1528${PYSITELIB}/statsmodels/stats/tests/test_contingency_tables.py 1531${PYSITELIB}/statsmodels/stats/tests/test_contingency_tables.py
@@ -1875,44 +1878,53 @@ ${PYSITELIB}/statsmodels/tsa/statespace/ @@ -1875,44 +1878,53 @@ ${PYSITELIB}/statsmodels/tsa/statespace/
1875${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_var_stata.csv 1878${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_var_stata.csv
1876${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.py 1879${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.py
1877${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.pyc 1880${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.pyc
1878${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.pyo 1881${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax.pyo
1879${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv 1882${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv
1880${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv 1883${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv
1881${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_regression.csv 1884${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_regression.csv
1882${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv 1885${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv
1883${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv 1886${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv
1884${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_regression.csv 1887${PYSITELIB}/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_regression.csv
1885${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.py 1888${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.py
1886${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyc 1889${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyc
1887${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyo 1890${PYSITELIB}/statsmodels/tsa/statespace/tests/test_dynamic_factor.pyo
 1891${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.py
 1892${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.pyc
 1893${PYSITELIB}/statsmodels/tsa/statespace/tests/test_impulse_responses.pyo
1888${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.py 1894${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.py
1889${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.pyc 1895${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.pyc
1890${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.pyo 1896${PYSITELIB}/statsmodels/tsa/statespace/tests/test_kalman.pyo
1891${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.py 1897${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.py
1892${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.pyc 1898${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.pyc
1893${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.pyo 1899${PYSITELIB}/statsmodels/tsa/statespace/tests/test_mlemodel.pyo
1894${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.py 1900${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.py
1895${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.pyc 1901${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.pyc
1896${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.pyo 1902${PYSITELIB}/statsmodels/tsa/statespace/tests/test_options.pyo
1897${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.py 1903${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.py
1898${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.pyc 1904${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.pyc
1899${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.pyo 1905${PYSITELIB}/statsmodels/tsa/statespace/tests/test_prediction.pyo
1900${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.py 1906${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.py
1901${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.pyc 1907${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.pyc
1902${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.pyo 1908${PYSITELIB}/statsmodels/tsa/statespace/tests/test_representation.pyo
1903${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.py 1909${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.py
1904${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.pyc 1910${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.pyc
1905${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.pyo 1911${PYSITELIB}/statsmodels/tsa/statespace/tests/test_sarimax.pyo
 1912${PYSITELIB}/statsmodels/tsa/statespace/tests/test_save.py
 1913${PYSITELIB}/statsmodels/tsa/statespace/tests/test_save.pyc
 1914${PYSITELIB}/statsmodels/tsa/statespace/tests/test_save.pyo
 1915${PYSITELIB}/statsmodels/tsa/statespace/tests/test_simulate.py
 1916${PYSITELIB}/statsmodels/tsa/statespace/tests/test_simulate.pyc
 1917${PYSITELIB}/statsmodels/tsa/statespace/tests/test_simulate.pyo
1906${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.py 1918${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.py
1907${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.pyc 1919${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.pyc
1908${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.pyo 1920${PYSITELIB}/statsmodels/tsa/statespace/tests/test_smoothing.pyo
1909${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.py 1921${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.py
1910${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.pyc 1922${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.pyc
1911${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.pyo 1923${PYSITELIB}/statsmodels/tsa/statespace/tests/test_structural.pyo
1912${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.py 1924${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.py
1913${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.pyc 1925${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.pyc
1914${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.pyo 1926${PYSITELIB}/statsmodels/tsa/statespace/tests/test_tools.pyo
1915${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.py 1927${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.py
1916${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.pyc 1928${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.pyc
1917${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.pyo 1929${PYSITELIB}/statsmodels/tsa/statespace/tests/test_varmax.pyo
1918${PYSITELIB}/statsmodels/tsa/statespace/tools.py 1930${PYSITELIB}/statsmodels/tsa/statespace/tools.py
cvs diff -r1.1 -r1.2 pkgsrc/math/py-statsmodels/distinfo (expand / switch to unified diff)

--- pkgsrc/math/py-statsmodels/distinfo 2016/07/15 07:35:50 1.1
+++ pkgsrc/math/py-statsmodels/distinfo 2017/05/21 09:07:37 1.2
@@ -1,6 +1,6 @@ @@ -1,6 +1,6 @@
1$NetBSD: distinfo,v 1.1 2016/07/15 07:35:50 wiz Exp $ 1$NetBSD: distinfo,v 1.2 2017/05/21 09:07:37 adam Exp $
2 2
3SHA1 (statsmodels-0.8.0rc1.tar.gz) = 808bddc2a04e2429c76fb594da05fd2952996292 3SHA1 (statsmodels-0.8.0.tar.gz) = bbd5241d5edea5ebfcf1d296005c2ce3b8e1106b
4RMD160 (statsmodels-0.8.0rc1.tar.gz) = d2547e06657deac9270a9d6c972a4e042b4ffeb3 4RMD160 (statsmodels-0.8.0.tar.gz) = 9e4226caca648f5398a74776822701c42b09da05
5SHA512 (statsmodels-0.8.0rc1.tar.gz) = e963c7fc98a8d087df43ef0b6f7807dc25d67713fdf5a74391979604291f194e088ac0669465f6c94da867f58872fcee6cafdfb3ad9d85ce4c903316351734ee 5SHA512 (statsmodels-0.8.0.tar.gz) = 32bb7f36acc16796c445e5f695d958af4525fbbb2d374376fb4a73c972e3796fad05532456cef4aa5ee59d6fce11921174e17bbfc2e05d2488ce1ceac5175239
6Size (statsmodels-0.8.0rc1.tar.gz) = 9384625 bytes 6Size (statsmodels-0.8.0.tar.gz) = 9464851 bytes