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RoBMA 3.0
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@FBartos FBartos released this 31 May 07:03
· 3 commits to master since this release
v3.0
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Learn about vigilant mode.

Features

  • meta-regression with RoBMA.reg() function
  • posterior marginal summary and plots for the RoBMA.reg models with summary_marginal() and plot_marginal() functions
  • new vignette on hierarchical Bayesian model-averaged meta-analysis
  • new vignette on robust Bayesian model-averaged meta-regression
  • adding vignette from AMPPS tutorial
  • faster implementation of JAGS multivariate normal distribution (based on the BUGS JAGS module)
  • incorporating weight argument in the RoBMA and combine_data functions in order to pass custom likelihood weights
  • ability to use inverse square weights in the weighted meta-analysis by setting a weighted_type = "inverse_sqrt" argument

Changes

  • reworked interface for the hierarchical models. Prior distributions are now specified via the priors_hierarchical and priors_hierarchical_null arguments instead of priors_rho and priors_rho_null. The model summary now shows Hierarchical component summary.
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