hmetad 0.1.2

Bug fixes

• Resolved error in posterior_predict() and posterior_epred() for models with multilevel effects on a single confidence level
• cov_matrix() now works for scalar inputs
• aggregate_metad() now removes rows with NA values prior to aggregation

New features

• metac2_parameters() function streamlines setting priors for confidence criteria

Minor improvements and fixes

• aggregate_metad() and fit_metad() now perform more thorough checks on the number of confidence levels, K
• aggregate_metad() has increased efficiency

hmetad 0.1.1

Bug fixes

• Fixed bug in linpred_draws_metad/linpred_rvars_metad where meta_c only used first draw

New features

• Added logit option to use Stan’s multinomial_logit_lpmf/categorical_logit_lpmf

Minor improvements and fixes

• aggregate_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 0.1.0

hmetad is now on CRAN!

hmetad 0.0.1