Sensitivity and learning for Bayesian meta-analysis

Documentation for package ‘sl4bayesmeta’ version 0.3-1

sl4bayesmeta-package	Sensitivity and learning for Bayesian meta-analysis
cal_h_dist	Calibration of the Hellinger distance
effective_rlmc	Effective relative latent model complexity computation
or2logor	Transform the effect estimates from the odds (ratio) to the log-odds (ratio) scale
pri_par_adjust_dynamic	Dynamic heterogeneity prior adjustment based on the relative latent model complexity (RLMC)
pri_par_adjust_static	Static prior tail-adjustment
pri_par_epsilon_grid	Grid computation for epsilon-local sensitivity
sensitivity_learning_table	Posterior, sensitivity and learning estimates for Bayesian meta-analysis
sensitivity_learning_table_flexible	Posterior, sensitivity and learning estimates for Bayesian meta-analysis: Flexible version of the basic 'sensitivity_learning_table' function
sigma_ref	Reference standard deviation