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dabestr v2025.3.15

This release fix some deprecation issues from ggplot. See PR #187.

This release implements quite a couple of new features, matching up with the current DABEST in python.

This release is a complete rebuild of dabestr.

Previous functions from v0.3.0 and before are now depreciated.

This version of dabestr features a new Main API. The following functions have been sequentially organised for their intended procedural utilisation.

load() processes and converts a tidy dataset into the dabestr format.
mean_diff(), median_diff(), cohens_d(), hedges_g(), cliffs_delta(), cohens_h() Computes the effect size for each control-test group pairing in idx.
dabest_plot() produces a Gardner-Altman estimation plot or a Cumming estimation plot depending on whether float_contrast is TRUE.

This is a breaking release that includes standardised effect sizes, and a bunch of bugfixes.

This release implements the ability to supply a custom vector of colors to palette during plotting. There is also a bugfix that misreported the Ns for the test and control group.

This version represents a resbumission, in response to an automated CRAN check for flavor r-patched-solaris-x86. See https://cran.r-project.org/web/checks/check_results_dabestr.html

This patch fixes an issue that prevented Cumming plot generation, due to a ggplot2 new release (v3.3.0).

This patch fixes an issue where local variables were duplicated in column names, requiring proper unquoting.

This release fixes a bug that plotted the categories alphabetically in Gardner-Altman plots. (# 24).

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