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:
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ra4bayesmeta/json (API)
# Install 'ra4bayesmeta' in R: |
install.packages('ra4bayesmeta', repos = c('https://manuelaott.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:574555b77f. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | NOTE | Oct 30 2024 |
R-4.4-mac | NOTE | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
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