Adds two new helper functions:
tidy_model_performance to toggle between
tidymodels naming conventions.
broomExtra from dependencies in favor of
Removes the unused and vestigial
Removes the alias
expr_template function retires
effsize.df argument. Now all details need to be entered only in
All meta-analyses are now carried out using
expr_meta_random and the individual functions have been removed.
All effect sizes for contingency tabs are now calculated via
effectsize instead of
rcompanion. This would lead to slight differences in effect sizes and their CIs but the computations will be faster. Additionally, the lower bound will never be negative and will be restricted to [0,1].
expr_contingency_tab function has been made less robust. It now fails instead of returning
NULL when it is not supposed to work. This is done to be consistent with the other functions in the package which also fail instead of returning
expr_anova_parametric always applies sphericity correction for p-values for repeated measures ANOVA.
expr_anova_parametric retires non-partial variants of effect sizes (eta-squared and omega-squared, i.e.) for parametric analyses.
The t-test and ANOVA tests get
subject.id argument relevant for repeated measures design.
Retires the vestigial
stat.title argument. It was originally intended to give more info on the tests, but now the expressions themselves contain these details.
For paired ANOVA designs,
partial = TRUE is recognized by effect sizes.
bias.correct argument for contingency table analysis. It is rarely justifiable to use the biased version of Cramer’s V.
Adapts tests to changes made in the
Subtitles for correlation tests make clear the type of statistic.
Small p-values (< 0.001) are now shown in scientific format.
Adapts to changes made in
correlation::correlation needed for
expr_t_nonparametric subtitle now clarifies whether it’s a Wilcoxon test or a Mann-Whitney test.
Thanks to Sarah, the package has a hexsticker. :)
Confidence intervals for Spearman’s rho are computed using
correlation instead of
All relevant functions get rid of
messages argument as the functions no longer print a message when bootstrapped CIs are used.
The effect size measure for paired robust t-test is now changed to robust (trimmed-Winsorized) standardized difference similar to Cohen’s d.
conf.leveldoesn’t work and function defaults to
Removes the experimental
All Bayes Factor related functions have now moved to the new
tidyBF package and are re-exported from there.
Minimum R version bumped to
Retires the internal
effsize_t_parametric helper function in favor of relying functions from
effectsize, which is now added as a dependency. Similarly,
statsExpressions now relies on
effectsize to compute effect sizes for ANOVA designs, instead of
For parametric t-tests and ANOVAs, confidence intervals for effect sizes are estimated using the noncentrality parameter method. Centrality-based methods are deprecated.
Correlation analysis is carried out using
correlation package, which is now added as a dependency.
corr_objectsto reduce dependency load of
ggstatsplot. This is an experimental function and should be avoided until it stabilizes.
expr_templatefunction now expects two dataframes:
effsize.dfthat contain the details needed for creating expressions instead of providing each individual values. This makes the function more friendly work with using modeling packages like
Minor tweaks to how widehat is displayed in some of the expressions.
Cramer’s V is bias-corrected by default.
All effect size texts now contain
^ on top to signify that these are estimates.
Fixing tests for the new release of
Minor code refactoring.