python-statsmodels-doc_0.4.2-1_all.deb


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Description

python-statsmodels-doc - documentation and examples for statsmodels

Property Value
Distribution Debian 7 (Wheezy)
Repository Debian Main i386
Package name python-statsmodels-doc
Package version 0.4.2
Package release 1
Package architecture all
Package type deb
Installed size 23.09 KB
Download size 7.00 MB
Official Mirror ftp.br.debian.org
This package contains HTML documentation and example scripts for
python-statsmodels.

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Package Version Architecture Repository
python-statsmodels-doc_0.5.0-1~nd70+1_all.deb 0.5.0 all NeuroDebian Main
python-statsmodels-doc_0.5.0-1~nd70+1_all.deb 0.5.0 all NeuroDebian Main
python-statsmodels-doc_0.4.2-1_all.deb 0.4.2 all Debian Main
python-statsmodels-doc - - -

Requires

Name Value
libjs-jquery -

Conflicts

Name Value
python-scikits-statsmodels-doc -
python-scikits.statsmodels-doc -

Replaces

Name Value
python-scikits-statsmodels-doc -
python-scikits.statsmodels-doc -

Download

Type URL
Binary Package python-statsmodels-doc_0.4.2-1_all.deb
Source Package statsmodels

Install Howto

  1. Update the package index:
    # sudo apt-get update
  2. Install python-statsmodels-doc deb package:
    # sudo apt-get install python-statsmodels-doc

Files

Path
/usr/share/doc/python-statsmodels-doc/GLMNotes.pdf
/usr/share/doc/python-statsmodels-doc/changelog.Debian.gz
/usr/share/doc/python-statsmodels-doc/changelog.gz
/usr/share/doc/python-statsmodels-doc/copyright
/usr/share/doc/python-statsmodels-doc/examples
/usr/share/doc/python-statsmodels-doc/html/.buildinfo
/usr/share/doc/python-statsmodels-doc/html/diagnostic.html
/usr/share/doc/python-statsmodels-doc/html/discretemod.html
/usr/share/doc/python-statsmodels-doc/html/distributions.html
/usr/share/doc/python-statsmodels-doc/html/genindex.html
/usr/share/doc/python-statsmodels-doc/html/glm.html
/usr/share/doc/python-statsmodels-doc/html/glm_techn1.html
/usr/share/doc/python-statsmodels-doc/html/glm_techn2.html
/usr/share/doc/python-statsmodels-doc/html/gmm.html
/usr/share/doc/python-statsmodels-doc/html/graphics.html
/usr/share/doc/python-statsmodels-doc/html/importpaths.html
/usr/share/doc/python-statsmodels-doc/html/index.html
/usr/share/doc/python-statsmodels-doc/html/install.html
/usr/share/doc/python-statsmodels-doc/html/introduction.html
/usr/share/doc/python-statsmodels-doc/html/iolib.html
/usr/share/doc/python-statsmodels-doc/html/miscmodels.html
/usr/share/doc/python-statsmodels-doc/html/nonparametric.html
/usr/share/doc/python-statsmodels-doc/html/objects.inv
/usr/share/doc/python-statsmodels-doc/html/pitfalls.html
/usr/share/doc/python-statsmodels-doc/html/regression.html
/usr/share/doc/python-statsmodels-doc/html/regression_techn1.html
/usr/share/doc/python-statsmodels-doc/html/related.html
/usr/share/doc/python-statsmodels-doc/html/rlm.html
/usr/share/doc/python-statsmodels-doc/html/rlm_techn1.html
/usr/share/doc/python-statsmodels-doc/html/sandbox.html
/usr/share/doc/python-statsmodels-doc/html/search.html
/usr/share/doc/python-statsmodels-doc/html/searchindex.js
/usr/share/doc/python-statsmodels-doc/html/stats.html
/usr/share/doc/python-statsmodels-doc/html/tools.html
/usr/share/doc/python-statsmodels-doc/html/tsa.html
/usr/share/doc/python-statsmodels-doc/html/vector_ar.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.tsatools.lagmat.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.tsatools.lagmat2ds.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.getisinvertible.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.getisstationary.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.hstackarma_minus1.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.reduceform.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.stacksquare.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.varma_process.VarmaPoly.vstack.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.dynamic.DynamicVAR.T.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.dynamic.DynamicVAR.coefs.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.dynamic.DynamicVAR.equations.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.dynamic.DynamicVAR.r2.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.FEVD.plot.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARProcess.acf.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARProcess.orth_ma_rep.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARProcess.plotsim.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.bse.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.cov_ybar.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.detomega.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.fevd.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.fittedvalues.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_cov.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_interval.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.get_eq_index.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.info_criteria.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_errband_mc.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_resim.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.is_stable.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.llf.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.long_run_effects.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.ma_rep.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.mse.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.orth_ma_rep.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_acorr.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_forecast.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_sample_acorr.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.plotsim.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.reorder.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acorr.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acov.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_corr.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.roots.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acorr.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acov.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.sigma_u_mle.html
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/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_causality.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_normality.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_whiteness.html
/usr/share/doc/python-statsmodels-doc/html/generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues.html
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_beanplot.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_beanplot.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_beanplot.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_beanplot.py
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_violinplot.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_violinplot.pdf
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/usr/share/doc/python-statsmodels-doc/html/plots/graphics_boxplot_violinplot.py
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_fboxplot.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_fboxplot.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_fboxplot.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_fboxplot.py
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_rainbowplot.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_rainbowplot.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_rainbowplot.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_functional_rainbowplot.py
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_gofplots_qqplot.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_gofplots_qqplot.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_gofplots_qqplot.png
/usr/share/doc/python-statsmodels-doc/html/plots/graphics_gofplots_qqplot.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_acorr.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_acorr.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_acorr.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_acorr.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_fevd.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_fevd.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_fevd.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_fevd.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_forecast.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_forecast.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_forecast.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_forecast.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_input.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_input.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_input.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_input.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf.py
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf_cum.hires.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf_cum.pdf
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf_cum.png
/usr/share/doc/python-statsmodels-doc/html/plots/var_plot_irf_cum.py

Changelog

2012-06-29 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.4.2-1) unstable; urgency=low
* Fresh upstream release addressing FTBFS across big-endian architectures.
2012-06-15 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.4.1-1) unstable; urgency=low
* Fresh upstream release
- dropped up_versioncomparison_with_rc
- require Python >= 2.6
* Do fail if unittests fail
* Added joblib to build-depends since seems could be used during tests
2012-05-13 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.4.0-2) unstable; urgency=low
* Removed python-rpy from Recommends to avoid pulling Rtillery with
with the default installation of statsmodels and pandas, since rpy apparently
is mentioned only in some legacy code
* Added patch up_versioncomparison_with_rc to "cherry-pick" 45ee896 for
robust version comparison with rc versions of numpy/scipy
2012-05-01 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.4.0-1) unstable; urgency=low
* Fresh upstream release
2012-04-11 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.4.0~rc2+git6-g756f2d0-1) experimental; urgency=low
* Fresh upstream pre-release
- all patches dropped (upstreamed)
- scikits. name space is getting deprecated:
- python-scikits.statsmodels is provided to ease code transition
- python-statsmodels-doc replaces python-scikits.statsmodels-doc
- python-statsmodels-lib is introduced to carry arch-dependent
extensions
* debian/copyright:
- entry for statsmodels/stats/libqsturng
* debian/watch:
- use githubredir.debian.net
* debian/{rules,control}
- rule cythonize to (re-)cythonize .pyx files so they could be
built on older releases
- use custom IPython01x available from NeuroDebian on older releases
to build documentation
- build-depend on python-all-dev now to build extensions
- recommend python-joblib
2012-03-29 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.3.1-4) unstable; urgency=low
* Added patch from Ubuntu: fix_test_discrete.patch.  Thanks Michael Terry for
the patch and Gregor Herrmann for the reminder (Closes: #663986, #648845)
* upon clean -- remove autogenerated version.py
* debian/copyright: adjusted for DEP-5
* debian/control: boosted policy to 3.9.3 (no changes)
2012-01-21 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.3.1-3) unstable; urgency=low
* Few bugfixes:
- up_broken_imports
- up_doc_fixes
2011-08-25 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.3.1-2) unstable; urgency=low
* debian/copyright: extended list of copyrights/licenses. Thanks to
Luca Falavigna for the thorough review
* debian/rules: remove shipped COPYING files due to duplication of
debian/copyright
* Initial release -- upload to Debian (Closes: #570604)
2011-08-24 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.3.1-1) UNRELEASED; urgency=low
* Added get-orig-source rule to fetch from github using uscan
* Upload to Debian was rejected
2011-07-19 - Yaroslav Halchenko <debian@onerussian.com>
statsmodels (0.3.0-1) neurodebian; urgency=low
* Upstream release -- upload to Debian proper is pending the removal of
WFS dataset (research only restriction)
* debian/copyright: expanded to mention copyrights for the included
datasets, adjusted BSD-3 license text to use project's name instead
of "stock" regents.

See Also

Package Description
python-statsmodels-lib_0.4.2-1_i386.deb low-level implementations and bindings for statsmodels
python-statsmodels_0.4.2-1_all.deb Python module for the estimation of statistical models
python-stdeb_0.6.0+20100620-2_all.deb Python to Debian source package conversion utility
python-stdnum_0.7-1_all.deb Python module to handle standardized numbers and codes
python-stemmer-doc_1.2.0+dfsg-1_all.deb Python bindings for libstemmer (documentation)
python-stemmer_1.2.0+dfsg-1_i386.deb Python bindings for libstemmer - snowball stemming algorithms
python-stepic_0.3-4_all.deb Python Steganography in Images
python-stfio_0.10.18-1.1+b1_i386.deb A Python module to read common electrophysiology file formats
python-stfl_0.22-1+b1_i386.deb python bindings for the structured terminal forms language/library
python-stompy_0.2.9-1_all.deb Implementation of the STOMP protocol in Python
python-storm_0.19-1_i386.deb object-relational mapper (ORM) for Python
python-strongwind_0.9-2_all.deb dogtail inspired GUI test automation framework
python-stsci.distutils_0.3-1_all.deb Python packaging utilities for STScI's packages
python-subnettree_0.12-4+b1_i386.deb Python Module for CIDR Lookups
python-subunit_0.0.8+bzr176-1_all.deb unit testing protocol - Python bindings to generate and consume streams
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