DABEST

Update

DABEST version 2023.02.14 has been released: Release Notes

Briefly, this release introduces several new functions:

Refer to Release Notes for full details.

Data Analysis with Bootstrap-coupled ESTimation

Analyze your data with estimation statistics!

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News

March 2023:
  • v2023.02.14 released. The following features have been added:

    • Additional plotting functions for repeated measures experimental designs

    • Calculating of Cohen’s h and proportional plots for binary data

    • Calculating and plotting delta-deltas for 2x2 experimental designs

    • Calculating and plotting of weighted deltas for mini-meta-analysis of experimental replicates

  • See Release Notes for more details.

October 2020:

  • v0.3.1 released. The minimal versions of dependencies have been upgraded. Also, the minimal version of Python required is now 3.6.

January 2020:

  • v0.3.0 released. Approximate permutation tests have been added, and are now the default p-values reported in the textual output. The LqRT tests were also refactored to a user-callable property. For more information, see the Release Notes.

December 2019:

  • v0.2.8 released. This release adds the Lq-Likelihood-Ratio-Type Test in the statistical output, and also a bugfix for slopegraph and reference line keyword parsing.

October 2019:

  • v0.2.7 released. A minor bugfix in the handling of wide datasets with unequal Ns in each group.

  • v0.2.6 released. This release has one new feature (plotting of estimation plot inside any matplotlib Axes; see the section on Creating estimation plots in existing axes in the Tutorial: Controlling Plot Aesthetics). There are also two bug patches for the handling of bootstrap plotting, and of dependency installation.

September 2019:

  • v0.2.5 released. This release addresses two feature requests, and also patches two bugs: one affecting the paired difference CIs, and one involving NaNs in unused/irrelevant columns.

May 2019:

  • v0.2.4 released. This is a patch for a set of bugs that mis-aligned Gardner-Altman plots, and also adds the capability to tweak the x-position of the Tufte gapped lines.

  • v0.2.3 released. This is a fix for a bug that did not properly handle x-columns which were pandas Categorical objects.

April 2019:

  • v0.2.2 released. This is a minor bugfix that addressed an issue for an edge case where the mean or median difference was exactly zero.

March 2019:

  • v0.2.1 released. This is a minor bugfix that addressed an issue in gapped line plotting.

  • v0.2.0 released. This is a major update that makes several breaking changes to the API.

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