• Fixed a bug in extract_varcomp() that caused some variance components to be dropped if the variables involved in the random effects formula involved special characters such as ., (, ), or ^.
• Added an option to return separate level-1 variance components for models that use weights = varIdent(form = ~ 1 | Stratum).
• Generalized the g_mlm() function to allow use of separate models for the numerator and denominator of the effect size.
• Modified the stored results of g_mlm() so that the returnModel argument is no longer necessary.
• Fixed a bug in handling of models with missing observations that have na.action of na.exclude().
• Fixed a bug in internal functions for constructing level-1 variance covariance structures in models with multi-variate structure (i.e., models with non-null modelStruct\$corStruct).
• Corrected a bug leading to errors in Fisher_info() with models that have more than two levels.
• Added informative errors for summary.g_mlm(). summary() method only works for a g_mlm() object when setting returnModel = TRUE, which is the default.
• Updated the formula for standard error of effect size in the vignette to match the method in g_mlm().
• Added tests for handling models with missing outcome and/or covariate values.
• Fixed the “Additional issues” in the unit tests identified by the CRAN package checks.