metabup: Bayesian Meta-Analysis Using Basic Uncertain Pooling

Contains functions that allow Bayesian meta-analysis (1) with binomial data, counts(y) and total counts (n) or, (2) with user-supplied point estimates and associated variances. Case (1) provides an analysis based on the logit transformation of the sample proportion. This methodology is also appropriate for combining data from sample surveys and related sources. The functions can calculate the corresponding similarity matrix. More details can be found in Cahoy and Sedransk (2023), Cahoy and Sedransk (2022) <doi:10.1007/s42519-018-0027-2>, Evans and Sedransk (2001) <doi:10.1093/biomet/88.3.643>, and Malec and Sedransk (1992) <doi:10.1093/biomet/79.3.593>.

Version:	0.1.3
Depends:	R (≥ 2.10)
Imports:	stats, ggplot2, partitions
Published:	2022-10-17
DOI:	10.32614/CRAN.package.metabup
Author:	Dexter Cahoy [aut, cre], Joseph Sedransk [aut]
Maintainer:	Dexter Cahoy <dexter.cahoy at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	metabup results

Documentation:

Reference manual:

metabup.pdf

Downloads:

Package source:	metabup_0.1.3.tar.gz
Windows binaries:	r-devel: metabup_0.1.3.zip, r-release: metabup_0.1.3.zip, r-oldrel: metabup_0.1.3.zip
macOS binaries:	r-release (arm64): metabup_0.1.3.tgz, r-oldrel (arm64): metabup_0.1.3.tgz, r-release (x86_64): metabup_0.1.3.tgz, r-oldrel (x86_64): metabup_0.1.3.tgz

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