deps(deps): update pingouin requirement from >=0.5.3 to >=0.6.1

[dependabot]

Updates the requirements on pingouin to permit the latest version.

Release notes

Sourced from pingouin's releases.

Pingouin v0.6.1

Summary

Minor release with one new feature, several bugfixes, and internal improvements.

New features

• compute_effsize: added eftype='cohen_dz' for paired-samples designs ($d_z = \bar{X-Y} / \sigma_{X-Y}$); y now also accepts a scalar for one-sample effect sizes (#508)

Improvements

• compute_bootci: replaced custom bootstrap implementation with scipy.stats.bootstrap; default CI method upgraded to BCa; minimum SciPy bumped to 1.10 (#505)
• intraclass_corr: updated ICC type labels in output dataframe and documentation (#501)

Bugfixes

• partial_corr / pcorr: fixed numerical instability when variables differ by many orders of magnitude (#510)
• partial_corr: raise ValueError on identical covariates; warn on rank-deficient covariance matrix (#500)
• bayesfactor_pearson: fixed catastrophic float64 cancellation in one-sided tests for strongly negative r (#503)
• logistic_regression: fixed compatibility with scikit-learn >= 1.8 (#504)

Breaking changes

• Removed plot_shift function (#502)

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What's Changed

• Fix broken links in doc; add uv install instructions; use uv in ruff workflow; do not trigger pytest/coverage workflow for doc-only PRs by @​raphaelvallat in raphaelvallat/pingouin#496
• Use relative imports for intra-package dependencies by @​raphaelvallat in raphaelvallat/pingouin#499
• fix(partial_corr): raise on identical covariates, warn on rank-defici… by @​raphaelvallat in raphaelvallat/pingouin#500
• Update ICC types in output dataframe and documentation by @​raphaelvallat in raphaelvallat/pingouin#501
• Fix catastrophic float64 cancellation in bayesfactor_pearson one-si… by @​raphaelvallat in raphaelvallat/pingouin#503
• Fix test logistic regression by @​raphaelvallat in raphaelvallat/pingouin#504
• Remove plot_shift function by @​raphaelvallat in raphaelvallat/pingouin#502
• Add pre-commit hooks and consolidate dev dependencies by @​raphaelvallat in raphaelvallat/pingouin#506
• Fix numerical instability in partial_corr and pcorr when variables differ in magnitude by @​raphaelvallat in raphaelvallat/pingouin#510
• Add Cohen's dz for paired samples and one-sample Cohen's d documentation by @​raphaelvallat in raphaelvallat/pingouin#508
• Refactor compute_bootci to use scipy.stats.bootstrap by @​raphaelvallat in raphaelvallat/pingouin#505
• Release Pingouin 0.6.1 by @​raphaelvallat in raphaelvallat/pingouin#511

Full Changelog: raphaelvallat/pingouin@v0.6.0...v0.6.1

Changelog

Sourced from pingouin's changelog.

v0.6.1 (March 2026)

This is a minor release with several bugfixes, one new feature, and internal improvements.

New features

• :py:func:pingouin.compute_effsize now supports Cohen's :math:d_z for paired-samples designs via the new eftype='cohen_dz' option (:math:d_z = \bar{X-Y} / \sigma_{X-Y}). Additionally, the y parameter now accepts a scalar (population mean :math:\mu), enabling one-sample effect sizes without any API changes. (PR508 <https://github.com/raphaelvallat/pingouin/pull/508>_)

Improvements

• :py:func:pingouin.compute_bootci has been refactored to delegate to :py:func:scipy.stats.bootstrap, replacing the internal custom implementation. The default confidence interval method has been upgraded to bias-corrected and accelerated (BCa). This raises the minimum SciPy requirement to 1.10. (PR505 <https://github.com/raphaelvallat/pingouin/pull/505>_)
• :py:func:pingouin.intraclass_corr: updated ICC type labels in the output dataframe and documentation to be more explicit and consistent. (PR501 <https://github.com/raphaelvallat/pingouin/pull/501>_)

Bugfixes

• :py:func:pingouin.partial_corr and :py:func:pingouin.pcorr: fixed numerical instability that could return wildly incorrect results when input variables differed by many orders of magnitude (e.g. 1e-4 vs 1e4). The fix standardizes the data before computing the covariance matrix, which is mathematically equivalent but numerically stable. (PR510 <https://github.com/raphaelvallat/pingouin/pull/510>_)
• :py:func:pingouin.partial_corr: now raises a ValueError with a descriptive message when identical covariates are passed, and emits a warning when the covariance matrix is rank-deficient. (PR500 <https://github.com/raphaelvallat/pingouin/pull/500>_)
• :py:func:pingouin.bayesfactor_pearson: fixed catastrophic float64 cancellation in one-sided tests for strongly negative r values, which previously returned arbitrarily large incorrect Bayes Factors. (PR503 <https://github.com/raphaelvallat/pingouin/pull/503>_)
• :py:func:pingouin.logistic_regression: fixed compatibility with scikit-learn >= 1.8, which deprecated penalty=None. (PR504 <https://github.com/raphaelvallat/pingouin/pull/504>_)

Breaking changes

• Removed the plot_shift function, which had not kept pace with the quality standards of the rest of the library. (PR502 <https://github.com/raphaelvallat/pingouin/pull/502>_)

Dependency requirements

• Minimum SciPy <https://www.scipy.org/>_ version bumped from 1.8.0 to 1.10.

The full changelog can be found on GitHub: https://github.com/raphaelvallat/pingouin/releases/tag/v0.6.1

---

v0.6.0 (February 2026)

This is a major release with several bugfixes and breaking changes, as well as critical updates to the build infrastructure, dependencies and test suite (see PR489 <https://github.com/raphaelvallat/pingouin/pull/489>_)

Some of the key highlights are described below:

Bugfixes

• Disable one-sided Bayes Factor for T-tests, which were ill-defined (PR487 <https://github.com/raphaelvallat/pingouin/pull/487>_)
• Update RBC calculation for Wilcoxon signed-rank test to be dependent on the alternative (PR457 <https://github.com/raphaelvallat/pingouin/pull/457>_)
• Sphericity fix with very low eigenvalues (PR482 <https://github.com/raphaelvallat/pingouin/pull/482>_)
• Fix divide-by-zero in internal _correl_pvalue when r == 1 (PR474 <https://github.com/raphaelvallat/pingouin/pull/474>_
• Fix boxplot z-order in :py:func:pingouin.plot_paired (PR442 <https://github.com/raphaelvallat/pingouin/pull/442>_)

API breaking changes

... (truncated)

Commits

• 2d906c5 Bump to 0.6.1 and update changelog (#511)
• d5d618c Refactor compute_bootci to use scipy.stats.bootstrap (#505)
• f08cc88 Add Cohen's dz for paired samples and one-sample Cohen's d documentation (#508)
• 530e723 Fix partial_corr and pcorr with different magnitudes (#510)
• 14994d6 Add pre-commit hooks and consolidate dev dependencies (#506)
• c2a80ba Remove plot_shift function (#502)
• 407f3e9 Fix test logistic regression (#504)
• dbd48ac Fix catastrophic float64 cancellation in bayesfactor_pearson one-sided test...
• 2b93bf2 Update ICC types in output dataframe and documentation (#501)
• 0a4a9c8 fix(partial_corr): raise on identical covariates, warn on rank-defici… (#500)
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