Statsmodels Versions Save

This is a compatibility release that will allow statsmodels to run in environments using NumPy 2.

• Full compatibility with NumPy 2
• Improved future proofing against pandas 3 changes

This is a bug fix and future-proofing release that contains all bug fixes that have been applied since 0.14.0 was released.

There are no enhancements or changes to the statsmdoels API.

The statsmodels developers are happy to announce the first release of the 0.14 branch. 255 issues were closed in this release and 345 pull requests were merged. Major new features include:

• Treatment effect estimation and inference
• Hurdle and Truncated Count Regression
• Archimedean copulas have been extended to more than 2-dimensions.
• Multiseason STL decomposition (MSTL)
• Improved compatibility with current and future NumPy, SciPy, and pandas.

The statsmodels developers are happy to announce the first release candidate for 0.14.0. 248 issues were closed in this release and 335 pull requests were merged. Major new features include:

• Treatment effect estimation and inference
• Hurdle and Truncated Count Regression
• Archimedean copulas have been extended to more than 2-dimensions
• Multiseason STL decomposition (MSTL)
• Improved compatibility with current and future NumPy, SciPy and pandas

The statsmodels developers are happy to announce the Python 3.11 compatibility release for the 0.13 branch.

This release contains no bug fixes other than any needed to ensure statsmodels is compatible with Python 3.11. It also resolves an issue with PyPI that affects 0.13.4.

The statsmodels developers are happy to announce the Python 3.11 compatibility release for the 0.13 branch. This release contains no bug fixes other than any needed to ensure statsmodels is compatible with Python 3.11. It also resolves an issue with the source code generation in 0.13.3 that affects installs on Python 3.11 that use the source tarball.

The statsmodels developers are happy to announce the Python 3.11 compatibility release for the 0.13 branch. This release contains no bug fixes other than any needed to ensure statsmodels is compatible with Python 3.11.

The statsmodels developers are happy to announce the bugfix release for the 0.13 branch. This release fixes 10 bugs and provides protection against changes in recent versions of upstream packages.

The statsmodels developers are happy to announce the bug fix release for the 0.13 branch. This release fixes 8 bugs and brings initial support for Python 3.10.

The statsmodels developers are happy to announce the first release candidate for 0.13.0. 227 issues were closed in this release and 143 pull requests were merged. Major new features include:

• Autoregressive Distributed Lag models
• Copulas
• Ordered Models (Ordinal Regression)
• Beta Regression
• Improvements to ARIMA estimation options