R Development Page
Contributed R Packages
Below is a list of all packages provided by project pa4bayesmeta: Prior accuracy in NNHM.
Important note for package binaries: RForge 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 RForge, 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 MetaAnalysis  
Functionality for sensitivitybased identification and classification of inaccurate heterogeneity priors in the Bayesian normalnormal hierarchical model (NNHM) used for Bayesian metaanalysis, as described in Ott, Hunanyan, Held and Roos (2021, "Sensitivitybased identification of inaccurate heterogeneity priors in Bayesian metaanalysis", 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 betweenstudy 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: 0.13  Last change: 20210713 21:01:14+02  Rev.: 2  
Download: (.tar.gz)  (.zip)  Build status: Current  
R install command:
install.packages("pa4bayesmeta", repos="http://RForge.Rproject.org")  

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