Metadata-Version: 1.1
Name: scikits.statsmodels
Version: 0.2.0
Summary: Statistical computations and models for use with SciPy
Home-page: UNKNOWN
Author: Skipper Seabold, Josef Perktold
Author-email: UNKNOWN
License: BSD License
Description: 
        Statsmodels is a python package that provides a complement to scipy for 
        statistical computations including descriptive statistics and 
        estimation of statistical models.
        
        scikits.statsmodels provides classes and functions for the estimation of 
        several categories of statistical models. These currently include linear 
        regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized 
        linear models for six distribution families, M-estimators for robust 
        linear models, and regression with discrete dependent variables, Logit, 
        Probit, MNLogit, Poisson, based on maximum likelihood estimators. 
        An extensive list of result statistics are avalable for each estimation 
        problem.
        
        We welcome feedback: 
        mailing list at http://groups.google.com/group/pystatsmodels?hl=en  or
        our bug tracker at https://bugs.launchpad.net/statsmodels
        
        For updated versions between releases, we recommend our repository at
        http://code.launchpad.net/statsmodels
        
        Main Changes in 0.2.0
        ---------------------
        
        * Improved documentation and expanded and more examples
        * Added four discrete choice models: Poisson, Probit, Logit, and Multinomial Logit.
        * Added PyDTA. Tools for reading Stata binary datasets (*.dta) and putting 
          them into numpy arrays.
        * Added four new datasets for examples and tests.
        * Results classes have been refactored to use lazy evaluation.
        * Improved support for maximum likelihood estimation.
        * bugfixes
        * renames for more consistency
          RLM.fitted_values -> RLM.fittedvalues
          GLMResults.resid_dev -> GLMResults.resid_deviance
        
        Sandbox
        -------
        
        We are continuing to work on support for systems of equations models, panel data 
        models, time series analysis, and information and entropy econometrics in the 
        sandbox. This code is often merged into trunk as it becomes more robust.
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 2.4
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering
