Sensitivity and learning for Bayesian meta-analysis


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Documentation for package ‘sl4bayesmeta’ version 0.3-1

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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