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:
ra4bayesmeta_1.0-8.tar.gz
ra4bayesmeta_1.0-8.zip(r-4.7-any)ra4bayesmeta_1.0-8.zip(r-4.6-any)ra4bayesmeta_1.0-8.zip(r-4.5-any)
ra4bayesmeta_1.0-8.tgz(r-4.6-any)ra4bayesmeta_1.0-8.tgz(r-4.5-any)
ra4bayesmeta_1.0-8.tar.gz(r-4.7-any)ra4bayesmeta_1.0-8.tar.gz(r-4.6-any)
ra4bayesmeta_1.0-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:574555b77f. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 151 | ||
| source / vignettes | OK | 165 | ||
| linux-release-x86_64 | NOTE | 137 | ||
| macos-release-arm64 | NOTE | 142 | ||
| macos-oldrel-arm64 | NOTE | 165 | ||
| windows-devel | NOTE | 99 | ||
| windows-release | NOTE | 83 | ||
| windows-oldrel | NOTE | 99 | ||
| wasm-release | OK | 105 |
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:abindbackportsbayesmetacheckmatedigestforestplotlatticemathjaxrMatrixmetadatmetaformvtnormnlmenumDerivpbapply
