poolr: Methods for Pooling P-Values from (Dependent) Tests

Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher's method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method). An introduction can be found in Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.

Version: 1.1-1
Depends: R (≥ 3.5.0)
Imports: methods, stats, utils, mathjaxr
Suggests: testthat
Published: 2022-01-26
Author: Ozan Cinar ORCID iD [aut, cre], Wolfgang Viechtbauer ORCID iD [aut]
Maintainer: Ozan Cinar <ozancinar86 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: poolr citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: poolr results

Documentation:

Reference manual: poolr.pdf

Downloads:

Package source: poolr_1.1-1.tar.gz
Windows binaries: r-devel: poolr_1.1-1.zip, r-release: poolr_1.1-1.zip, r-oldrel: poolr_1.1-1.zip
macOS binaries: r-release (arm64): poolr_1.1-1.tgz, r-oldrel (arm64): poolr_1.1-1.tgz, r-release (x86_64): poolr_1.1-1.tgz, r-oldrel (x86_64): poolr_1.1-1.tgz
Old sources: poolr archive

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