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poolr: Package for Pooling the Results from (Dependent) Tests

Description

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).

Documentation

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).

Installation

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")

Meta

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.

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Version

Install

install.packages('poolr')

Monthly Downloads

830

Version

1.1-1

License

GPL (>= 2)

Maintainer

Ozan Cinar

Last Published

January 26th, 2022

Functions in poolr (1.1-1)

invchisq

Inverse Chi-Square Method
binomtest

Binomial Test
bonferroni

Bonferroni Method
tippett

Tippett's Method
meff

Estimate the Effective Number of Tests
mvnconv

Convert Correlations Among Multivariate Normal Test Statistics to Covariances for Various Target Statistics
print.poolr

Print Method for 'poolr' Objects
stouffer

Stouffer's Method
mvnlookup

Lookup Table for the mvnconv() Function
poolr-package

Methods for Pooling P-Values from (Dependent) Tests
grid2ip

Results from testing the association between depressive symptoms and 23 SNPs in the GRID2IP gene
empirical

Simulate Empirically-Derived Null Distributions
fisher

Fisher's Method