bspmma: Bayesian Semiparametric Models for Meta-Analysis

The main functions carry out Gibbs' sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.

Version: 0.1-2
Published: 2019-01-13
Author: Deborah Burr
Maintainer: Deborah Burr <burr at stat.ufl.edu>
License: GPL-2
NeedsCompilation: no
Citation: bspmma citation info
In views: Bayesian, MetaAnalysis
CRAN checks: bspmma results

Documentation:

Reference manual: bspmma.pdf

Downloads:

Package source: bspmma_0.1-2.tar.gz
Windows binaries: r-devel: bspmma_0.1-2.zip, r-release: bspmma_0.1-2.zip, r-oldrel: bspmma_0.1-2.zip
macOS binaries: r-release (arm64): bspmma_0.1-2.tgz, r-oldrel (arm64): bspmma_0.1-2.tgz, r-release (x86_64): bspmma_0.1-2.tgz, r-oldrel (x86_64): bspmma_0.1-2.tgz
Old sources: bspmma archive

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