posterior_predict() and posterior_epred() for models with multilevel effects on a single confidence level
cov_matrix() now works for scalar inputsaggregate_metad() now removes rows with NA values prior to aggregationmetac2_parameters() function streamlines setting priors for confidence criteriaaggregate_metad() and fit_metad() now perform more thorough checks on the number of confidence levels, K
aggregate_metad() has increased efficiencylinpred_draws_metad/linpred_rvars_metad where meta_c only used first drawlogit option to use Stan's multinomial_logit_lpmf/categorical_logit_lpmfaggregate_metad() now preserves column types
aggregate_metad() and fit_metad() now infer K using the maximum confidence level (instead of the number of unique levels)
aggregate_metad() and fit_metad() now have more helpful errors/messages for invalid data arguments
Minor updates to package documentation
hmetad is now on CRAN!