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This is a major release from 0.9.0 and includes a number new statistical models and many bug fixes. Highlights include: * Generalized Additive Models. This major feature is experimental and may change. * Conditional Models such as ConditionalLogit, which are known as fixed effect models in Econometrics. * Dimension Reduction Methods include Sliced Inverse Regression, Principal Hessian Directions and Sliced Avg. Variance Estimation * Regression using Quadratic Inference Functions (QIF) * Gaussian Process Regression
6 lines
370 B
Text
6 lines
370 B
Text
statsmodels is a Python module that provides classes and functions for
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the estimation of many different statistical models, as well as for
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conducting statistical tests, and statistical data exploration. An
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extensive list of result statistics are available for each
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estimator. The results are tested against existing statistical
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packages to ensure that they are correct.
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