Statsmodels Versions Save

This is a minor release from the 0.10.x branch with bug fixes and essential maintenance only. The key features are:

• Compatibility with pandas 0.25
• Compatibility with Numpy 1.17

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

See the release notes for a full list of all the change from 0.9.0.

python -m pip install --upgrade statsmodels

Note that 0.10.x will likely be the last series of releases to support Python 2, so please consider upgrading to Python 3 if feasible.

Please report any issues with the release candidate on the statsmodels issue tracker.

Release candidate for 0.10.0.

See the release notes in the documentation for details on the changes.