Releases: clementpoiret/Pingouin.jl
Releases · clementpoiret/Pingouin.jl
v0.2.3
Pingouin v0.2.3
- Updated dependencies,
- Prevented wrong tails for correlation.
Closed issues:
- Performance enhancement (#2)
- LoadError: Some tests did not pass when running julia test/runtests.jl (#5)
Merged pull requests:
- Update dependencies and add CI (#6) (@rikhuijzer)
- Relax compat entries (#7) (@rikhuijzer)
- Add CompatHelper (#8) (@rikhuijzer)
- Add TagBot (#9) (@rikhuijzer)
v0.2.2 - Correlations
Added support for correlations
v0.2.1 - Updated Non-Parametric tests and replaced SciPy
- Updated Non-parametric tests,
- Replaced SciPy by QuadGK for Bayesian tests,
- Optimizations.
v0.1.0 - Added Effect Sizes and CI
Compute effect sizes between two Arrays:
'cohen'
: Unbiased Cohen d'hedges'
: Hedges g'glass'
: Glass delta'r'
: correlation coefficient'eta-square'
: Eta-square'odds-ratio'
: Odds ratio'auc'
: Area Under the Curve'cles'
: Common Language Effect Size
Convert pearson's r
and cohen's d
to:
'cohen'
: Unbiased Cohen d'hedges'
: Hedges g'eta-square'
: Eta-square'odds-ratio'
: Odds ratio'AUC'
: Area Under the Curve
Compute effect sizes from T-values.
Parametric confidence intervals around a Cohen d or a correlation coefficient.
Bootstrapped confidence intervals of univariate and bivariate functions.
v0.0.1 - Initial release
First alpha release. Pingouin.jl is a statistical library for users wanting simple yet exhaustive statistics.
Currently support:
- Anderson-Darling test of distribution,
- Geometric standard (Z) score,
- Levene & Bartlett tests,
- Shapiro-Wilk, Shapiro-Francia and Jarque Bera tests of normality,
- Mauchly and JNS tests for sphericity.