raphaelvallat/pingouin: v0.3.0

New functions Added pingouin.plot_rm_corr() to plot a repeated measures correlation Enhancements Added the relimp argument to pingouin.linear_regression() to return the relative importance (= contribution) of each individual predictor to the R^2 of the full model. Complete refactoring of pingouin.intraclass_corr() to closely match the R implementation in the psych package. Pingouin now returns the 6 types of ICC, together with F values, p-values, degrees of freedom and confidence intervals. The pingouin.plot_shift() now 1) uses the Harrel-Davis robust quantile estimator in conjunction with a bias-corrected bootstrap confidence intervals, and 2) support paired samples. Added the axis argument to pingouin.harrelldavis() to support 2D arrays