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
Author:	René Lehmann [aut, cre]
Maintainer:	René Lehmann <rene.lehmann82 at t-online.de>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	CPCAT results

Documentation:

Reference manual:	CPCAT.html , CPCAT.pdf
Vignettes:	Introduction to CPCAT (source, R code)

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

Linking:

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