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Contributed R Packages

Below is a list of all packages provided by project pa4bayesmeta: Prior accuracy in NNHM.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

pa4bayesmeta

Prior Accuracy for Bayesian Meta-Analysis

  Functionality for sensitivity-based identification and classification of inaccurate heterogeneity priors in the Bayesian normal-normal hierarchical model (NNHM) used for Bayesian meta-analysis, as described in Ott, Hunanyan, Held and Roos (2021, "Sensitivity-based identification of inaccurate heterogeneity priors in Bayesian meta-analysis", in preparation for Statistical Methods in Medical Research). Classifies inaccurate heterogeneity priors - i.e. heterogeneity priors which do not assign equal probability mass to both sides of the true between-study standard deviation - as either anticonservative (puts more than half of its probability mass on too small heterogeneity values) or conservative (puts more than half of its probability mass on too large heterogeneity values). Includes a function to compute the relative latent model complexity associated with a heterogeneity prior and a data set. The functions operate on data sets which are compatible with the bayesmeta package on CRAN.
  Version: 0.1-3 | Last change: 2021-07-13 21:01:14+02 | Rev.: 2
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("pa4bayesmeta", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

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