Changes in version 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

                 Changes in version 0.1.1 (2026-04-20)                  

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

                 Changes in version 0.1.0 (2026-03-16)                  

hmetad is now on CRAN!

                        Changes in version 0.0.1