Package: ra4bayesmeta 1.0-8

ra4bayesmeta: Reference Analysis for Bayesian Meta-Analysis

Functionality for performing a principled reference analysis in the Bayesian normal-normal hierarchical model used for Bayesian meta-analysis, as described in Ott, Plummer and Roos (2021) <doi:10.1002/sim.9076>. Computes a reference posterior, induced by a minimally informative improper reference prior for the between-study (heterogeneity) standard deviation. Determines additional proper anti-conservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the 'bayesmeta' package.

Authors:Manuela Ott [aut, cre], Malgorzata Roos [aut]

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Last updated 12 months agofrom:574555b77f. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:cal_h_distdsgcdsigcfit_models_RAfit_models_RA_5bmHH_fitsH_normalm_inf_sgcM_inf_sigcm_j_sgcM_j_sigcplot_RAplot_RA_5bmplot_RA_fitspost_mu_fepost_RApost_RA_3bmpost_RA_fitspri_RA_5bmpri_RA_fitssigma_ref

Dependencies:abindbackportsbayesmetacheckmateforestplotlatticemathjaxrMatrixmetadatmetaformvtnormnlmenumDerivpbapply