Package: CPCAT 1.0.0
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:
CPCAT_1.0.0.tar.gz
CPCAT_1.0.0.zip(r-4.5)CPCAT_1.0.0.zip(r-4.4)CPCAT_1.0.0.zip(r-4.3)
CPCAT_1.0.0.tgz(r-4.5-any)CPCAT_1.0.0.tgz(r-4.4-any)CPCAT_1.0.0.tgz(r-4.3-any)
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)
| # Install 'CPCAT' in R: |
| install.packages('CPCAT', repos = c('https://lehmannrene.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:64d563106e. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 26 2025 |
| R-4.5-win | OK | Jan 26 2025 |
| R-4.5-mac | OK | Jan 26 2025 |
| R-4.5-linux | OK | Jan 26 2025 |
| R-4.4-win | OK | Jan 26 2025 |
| R-4.4-mac | OK | Jan 26 2025 |
| R-4.3-win | OK | Jan 26 2025 |
| R-4.3-mac | OK | Jan 26 2025 |
Exports:CPCAThypothesespoisson.sub.testpoisson.test
Dependencies:
