Package: CPCAT 1.0.0

René Lehmann

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.

Authors:René Lehmann [aut, cre]

CPCAT_1.0.0.tar.gz
CPCAT_1.0.0.tar.gz(r-4.5-noble)CPCAT_1.0.0.tar.gz(r-4.4-noble)
CPCAT_1.0.0.tgz(r-4.4-emscripten)CPCAT_1.0.0.tgz(r-4.3-emscripten)
CPCAT.pdf |CPCAT.html✨
CPCAT/json (API)

# InstallCPCAT in R:
install.packages('CPCAT',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.09 score 0 dependencies

Last updated 3 days agofrom:64d563106e

Exports:CPCAThypothesespoisson.sub.testpoisson.test

Dependencies:

Introduction to CPCAT

Rendered fromIntro_CPCAT.Rmdusingknitr::rmarkdownon Jul 03 2024.

Last update: 2024-07-03
Started: 2024-07-03