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CPCAT  

The Closure Principle Computational Approach Test
View on CRAN: Click here


Download and install CPCAT package within the R console
Install from CRAN:
install.packages("CPCAT")

Install from Github:
library("remotes")
install_github("cran/CPCAT")

Install by package version:
library("remotes")
install_version("CPCAT", "1.0.0")



Attach the package and use:
library("CPCAT")
Maintained by
René Lehmann
[Scholar Profile | Author Map]
First Published: 2024-07-02
Latest Update: 2024-07-02
Description:
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.
How to cite:
René Lehmann (2024). CPCAT: The Closure Principle Computational Approach Test. R package version 1.0.0, https://cran.r-project.org/web/packages/CPCAT. Accessed 01 May. 2025.
Previous versions and publish date:
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Complete documentation for CPCAT
Functions, R codes and Examples using the CPCAT R package
Full CPCAT package functions and examples
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