Package: CPMCGLM 1.2

CPMCGLM: Correction of the P-Value after Multiple Coding in Generalized Linear Models

We propose to determine the correction of the significance level after multiple coding of an explanatory variable in Generalized Linear Model. The different methods of correction of the p-value are the Single step Bonferroni procedure, and resampling based methods developed by P.H.Westfall in 1993. Resampling methods are based on the permutation and the parametric bootstrap procedure. If some continuous, and dichotomous transformations are performed this package offers an exact correction of the p-value developed by B.Liquet & D.Commenges in 2005. The naive method with no correction is also available.

Authors:Jeremie Riou, and Benoit Liquet

CPMCGLM_1.2.tar.gz
CPMCGLM_1.2.zip(r-4.7-any)CPMCGLM_1.2.zip(r-4.6-any)CPMCGLM_1.2.zip(r-4.5-any)
CPMCGLM_1.2.tgz(r-4.6-any)CPMCGLM_1.2.tgz(r-4.5-any)
CPMCGLM_1.2.tar.gz(r-4.7-any)CPMCGLM_1.2.tar.gz(r-4.6-any)
CPMCGLM_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CPMCGLM/json (API)

# Install 'CPMCGLM' in R:
install.packages('CPMCGLM', repos = c('https://jeremieriou.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.30 score 4 scripts 318 downloads 2 mentions 13 exports 4 dependencies

Last updated from:60510f263f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK194
linux-releaseOK180
macos-releaseOK145
macos-oldrelOK176
windows-develOK63
windows-releaseOK66
windows-oldrelOK54
wasm-releaseOK86

Exports:bestcodBoxcoxCodagecodcutCPMCGLMpermutPFprint.CPMCGLMsummary.CPMCGLMtest.liquettest.scoretmultboottransf

Dependencies:abindmvtnormplyrRcpp