pairwiseComparisons 1.1.2

• Hot fix release to address failing tests on the old release of R (3.6).

pairwiseComparisons 1.1.1

• For repeated measures datasets with NAs present, the Bayes Factor values were incorrect. This is fixed.

• Internal refactoring to improve data wrangling using ipmisc.

pairwiseComparisons 1.0.0

• Removes dependence on jmv and instead relies on dunn.test and PMCMRplus. This significantly reduces number of dependencies.

• The non-parametric Dwass test has been changed to Dunn test.

pairwiseComparisons 0.3.1

• Adapts to breaking changes in upcoming release of broom 0.7.0.

• Thanks to Sarah, the package has a hexsticker. :)

pairwiseComparisons 0.3.0

• Due to changes made to downstream dependencies, the minimum R version expected is bumped to 3.6.0.

• Adds support for the Bayes Factor tests.

• Exports the internal helper function pairwise_caption.

pairwiseComparisons 0.2.5

• Maintenance release to import functions from ipmisc.

pairwiseComparisons 0.2.0

• pairwise_comparisons_caption is removed since it was helpful only for ggstatsplot’s internal graphics display and wasn’t of much utility outside of that context.

pairwiseComparisons 0.1.3

• Instead of cluttering the terminal with messages, pairwise_comparisons function now instead adds two columns (test.details and p.value.adjustment) to all outputs specifying which test was carried out and which adjustment method is being used for p-value correction.
• Gets rid of groupedstats and crayon from dependencies.

pairwiseComparisons 0.1.2

• With jmv 1.0.8, the results from the Dwass-Steel-Crichtlow-Fligner test will be slightly different.

pairwiseComparisons 0.1.1

• The p.value.label in the output dataframe has been renamed to label to consider the possibility that Bayes Factor tests might also be supported in future.

• The label now specified whether the p-value was adjusted or not for multiple comparisons.

pairwiseComparisons 0.1.0

• First release of the package.