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The poolr package contains 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).
You can read the documentation of the poolr package
online at https://ozancinar.github.io/poolr/
(where it is nicely formatted, equations are shown correctly, and the
output from all examples is provided).
The current official (i.e., CRAN) release can be installed directly within R with:
install.packages("poolr")After installing the remotes package
with install.packages("remotes"), the development version
of the poolr package can be installed with:
remotes::install_github("ozancinar/poolr")The poolr package was written by Ozan Cinar and Wolfgang Viechtbauer. It is licensed
under the GNU General
Public License Version 2. To report any issues or bugs, please go here.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.