statsExpressions 0.6.0

BREAKING CHANGES

• Removes the alias expr_onesample_proptest.

• The expr_template function retires effsize.df argument. Now all details
  need to be entered only in data.

• All meta-analyses are now carried out using expr_meta_random and the
  individual functions have been removed.

MAJOR CHANGES

• 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].

• contingency_table 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 NULL.

• 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.

MINOR CHANGES

• 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.

• Retires bias.correct argument for contingency table analysis. It is rarely
  justifiable to use the biased version of Cramer's V.