statsmodels v0.10.0 Release Notes

Release Date: 2019-06-24 // 11 months ago
  • 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.