R: Reference Analysis for Bayesian Meta-Analysis

# Reference Analysis for Bayesian Meta-Analysis

## Documentation for package ‘ra4bayesmeta’ version 1.0-8

- DESCRIPTION file

## Help Pages

ra4bayesmeta-package | Reference Analysis for Bayesian Meta-Analysis
aa | Auricular acupuncture data
aom | Acute otitis media data
cal_h_dist | Calibration of the Hellinger distance
dsgc | Density function of the square-root generalized conventional (SGC) benchmark prior
dsigc | Density function of the square-root inverse generalized conventional (SIGC) benchmark prior
fit_models_RA | Model fitting for reference analysis using 2 benchmarks: Posterior inference for benchmark and actual heterogeneity priors
fit_models_RA_5bm | Model fitting for reference analysis using 5 benchmarks: Posterior inference for benchmark and actual heterogeneity priors
H | Hellinger distance between two probability densities
H_fits | Hellinger distance between marignal posterior densities of two bayesmeta fits
H_normal | Approximate moment-based Hellinger distance computation between two probability densities
m_inf_sgc | Optimization function for the SGC(m) prior: Adjust the prior to a target relative latent model complexity (RLMC)
M_inf_sigc | Optimization function for the SIGC(M) prior: Adjust the prior to a target relative latent model complexity (RLMC)
m_j_sgc | Optimization function for the SGC(m) prior: Approximate Jeffreys reference posterior
M_j_sigc | Optimization function for the SIGC(m) prior: Approximate Jeffreys reference posterior
plot_RA | Reference analysis plot based on a data frame using 2 benchmarks: Plot heterogeneity benchmark priors and the corresponding marginal posteriors
plot_RA_5bm | Reference analysis plot based on a data frame using 5 benchmarks: Plot heterogeneity benchmark priors and the corresponding marginal posteriors
plot_RA_fits | Reference analysis plot based on bayesmeta fits: Plot heterogeneity benchmark priors and the corresponding marginal posteriors
post_mu_fe | Normal posterior for the overall mean parameter in the fixed effects model
post_RA | Posterior reference analysis based on a data frame using 2 benchmarks
post_RA_3bm | Posterior reference analysis based on a data frame using 3 benchmarks
post_RA_fits | Posterior reference analysis based on bayesmeta fits
pri_RA_5bm | Prior reference analysis based on a data frame using 5 benchmarks
pri_RA_fits | Prior reference analysis based on bayesmeta fits
rti | Respiratory tract infections data
sigma_ref | Reference standard deviation