Bump statsmodels from 0.13.5 to 0.14.6

[dependabot]

Bumps statsmodels from 0.13.5 to 0.14.6.

Release notes

Sourced from statsmodels's releases.

Release 0.14.6

This patch release fixes an issue with pandas 3.0.0 that prevented statsmodels from importing. It also addresses some minor changes that improve future compatibility in NumPy.

Release 0.14.5

This patch release fixes an issue with recent SciPy releases (1.16+) that prevented statsmodels from importing. It also addresses some small changes that improve future compatibility.

Release 0.14.4

The statsmodels developers are pleased to announce the release of 0.14.4. This release contains one feature and no fixes.

New Feature:

• Pyodide support

Release 0.14.3

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

1. Corrects the build procedure for MacOS on both x86_64 and arm64
2. Improves compatibility with recent pandas releases

Release 0.14.2

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

Release 0.14.1

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.

Release 0.14.0

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.

Release Candidate 0.14.0rc0

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

Commits

• 40e6a84 Merge pull request #9701 from bashtage/doc-0.14.6-changes
• 120ad27 DOC: Release note for 0.14.6
• e8b0ab0 Merge pull request #9700 from bashtage/final-0.14.6-changes
• 8ad398a MAINT: Improve compatability wiht recent NumPy
• 9495808 Merge pull request #9633 from bashtage/changes-0-14-6
• b44854a STY: Fix linting fails
• e7b2fa5 MAINT: Update for recent changes
• 1107ea5 Merge pull request #9591 from bashtage/rls-0-14-5-notes
• f3b362a MAINT: Update CI
• e2249ab DOC: Final fixes
• Additional commits viewable in compare view

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