Releases: statsmodels/statsmodels
Releases · statsmodels/statsmodels
Release 0.10.1
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
Release 0.10.0
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.
Version 0.10.0 Release Candidate 2
Release candidate for 0.10.0.
See the release notes in the documentation for details on the changes.
Version 0.9.0 Release
Merge pull request #4633 from josef-pkt/backport_0.9.0 Backport 0.9.0
Version 0.9.0 Release Candidate 1
Merge pull request #4571 from josef-pkt/MAINT_setup_readme MAINT: update setup.py and README.rst
Version 0.8.0 Release
Merge pull request #3458 from bashtage/add-module-tags-to-docs DOC: Add module tags to docs
Version 0.8.0 Release Candidate 1
Merge pull request #3064 from TomAugspurger/ros-sort COMPAT: pandas.sort in ros.py