CIPerm: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods

Implements computationally-efficient construction of confidence intervals from permutation or randomization tests for simple differences in means, based on Nguyen (2009) <doi:10.15760/etd.7798>.

Version: 0.2.3
Imports: matrixStats
Suggests: knitr, rmarkdown
Published: 2022-06-21
Author: Emily Tupaj [aut], Jerzy Wieczorek ORCID iD [cre, aut], Minh Nguyen [ctb], Mara Tableman [ctb]
Maintainer: Jerzy Wieczorek <jawieczo at colby.edu>
BugReports: https://github.com/ColbyStatSvyRsch/CIPerm/issues
License: MIT + file LICENSE
URL: https://github.com/ColbyStatSvyRsch/CIPerm/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: CIPerm results

Documentation:

Reference manual: CIPerm.pdf
Vignettes: naive
nguyen

Downloads:

Package source: CIPerm_0.2.3.tar.gz
Windows binaries: r-devel: CIPerm_0.2.3.zip, r-release: CIPerm_0.2.3.zip, r-oldrel: CIPerm_0.2.3.zip
macOS binaries: r-release (arm64): CIPerm_0.2.3.tgz, r-oldrel (arm64): CIPerm_0.2.3.tgz, r-release (x86_64): CIPerm_0.2.3.tgz, r-oldrel (x86_64): CIPerm_0.2.3.tgz
Old sources: CIPerm archive

Linking:

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