Reference analysis for Bayesian meta-analysis


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Documentation for package ‘ra4bayesmeta’ version 0.1-2

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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: Posterior inference for benchmark and actual heterogeneity priors
H Hellinger distance 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: 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_RA Posterior reference analysis based on a data frame
post_RA_fits Posterior reference analysis based on bayesmeta fits
pri_RA Prior reference analysis based on a data frame
pri_RA_fits Prior reference analysis based on bayesmeta fits
rti Respiratory tract infections data
sigma_ref Reference standard deviation