CPCAT: The Closure Principle Computational Approach Test

P-values and no/lowest observed (adverse) effect concentration values derived from the closure principle computational approach test (Lehmann, R. et al. (2015) <doi:10.1007/s00477-015-1079-4>) are provided. The package contains functions to generate intersection hypotheses according to the closure principle (Bretz, F., Hothorn, T., Westfall, P. (2010) <doi:10.1201/9781420010909>), an implementation of the computational approach test (Ching-Hui, C., Nabendu, P., Jyh-Jiuan, L. (2010) <doi:10.1080/03610918.2010.508860>) and the combination of both, that is, the closure principle computational approach test.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-07-02
DOI: 10.32614/CRAN.package.CPCAT
Author: René Lehmann ORCID iD [aut, cre]
Maintainer: René Lehmann <rene.lehmann82 at t-online.de>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: CPCAT results

Documentation:

Reference manual: CPCAT.pdf
Vignettes: Introduction to CPCAT

Downloads:

Package source: CPCAT_1.0.0.tar.gz
Windows binaries: r-devel: CPCAT_1.0.0.zip, r-release: CPCAT_1.0.0.zip, r-oldrel: CPCAT_1.0.0.zip
macOS binaries: r-release (arm64): CPCAT_1.0.0.tgz, r-oldrel (arm64): CPCAT_1.0.0.tgz, r-release (x86_64): CPCAT_1.0.0.tgz, r-oldrel (x86_64): CPCAT_1.0.0.tgz

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