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Metadata-Version: 1.1
Name: statsmodels
Version: 0.6.1
Summary: Statistical computations and models for use with SciPy
Home-page: http://statsmodels.sourceforge.net/
Author: Skipper Seabold, Josef Perktold
Author-email: pystatsmodels@googlegroups.com
License: BSD License
Description: What Statsmodels is
        ===================
        
        Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.
        
        Main Features
        =============
        
        * linear regression models: Generalized least squares (including weighted least squares and
          least squares with autoregressive errors), ordinary least squares.
        * glm: Generalized linear models with support for all of the one-parameter
          exponential family distributions.
        * discrete: regression with discrete dependent variables, including Logit, Probit, MNLogit, Poisson, based on maximum likelihood estimators
        * rlm: Robust linear models with support for several M-estimators.
        * tsa: models for time series analysis
          - univariate time series analysis: AR, ARIMA
          - vector autoregressive models, VAR and structural VAR
          - descriptive statistics and process models for time series analysis
        * nonparametric : (Univariate) kernel density estimators
        * datasets: Datasets to be distributed and used for examples and in testing.
        * stats: a wide range of statistical tests
          - diagnostics and specification tests
          - goodness-of-fit and normality tests
          - functions for multiple testing
          - various additional statistical tests
        * iolib
          - Tools for reading Stata .dta files into numpy arrays.
          - printing table output to ascii, latex, and html
        * miscellaneous models
        * sandbox: statsmodels contains a sandbox folder with code in various stages of
          developement and testing which is not considered "production ready".
          This covers among others Mixed (repeated measures) Models, GARCH models, general method
          of moments (GMM) estimators, kernel regression, various extensions to scipy.stats.distributions,
          panel data models, generalized additive models and information theoretic measures.
        
        
        Where to get it
        ===============
        
        The master branch on GitHub is the most up to date code
        
            https://www.github.com/statsmodels/statsmodels
        
        Source download of release tags are available on GitHub
        
            https://github.com/statsmodels/statsmodels/tags
        
        Binaries and source distributions are available from PyPi
        
            http://pypi.python.org/pypi/statsmodels/
        
        Binaries can be installed in Anaconda
        
            conda install statsmodels
        
        Development snapshots are also avaiable in Anaconda
        
            conda install -c https://conda.binstar.org/statsmodels statsmodels
        
        
        Installation from sources
        =========================
        
        See INSTALL.txt for requirements or see the documentation
        
            http://statsmodels.sf.net/devel/install.html
        
        
        License
        =======
        
        Modified BSD (3-clause)
        
        
        Documentation
        =============
        
        The official documentation is hosted on SourceForge
        
            http://statsmodels.sf.net/
        
        
        Windows Help
        ============
        The source distribution for Windows includes a htmlhelp file (statsmodels.chm).
        This can be opened from the python interpreter ::
        
            >>> import statsmodels.api as sm
            >>> sm.open_help()
        
        
        Discussion and Development
        ==========================
        
        Discussions take place on our mailing list.
        
            http://groups.google.com/group/pystatsmodels
        
        We are very interested in feedback about usability and suggestions for improvements.
        
        
        Bug Reports
        ===========
        
        Bug reports can be submitted to the issue tracker at
        
            https://github.com/statsmodels/statsmodels/issues
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering

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