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CPMCGLM  

Correction of the P-Value after Multiple Coding in Generalized Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CPMCGLM", "1.2")



Attach the package and use:
library("CPMCGLM")
Maintained by
Jeremie Riou
[Scholar Profile | Author Map]
First Published: 2012-03-29
Latest Update: 2017-12-06
Description:
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.
How to cite:
Jeremie Riou (2012). CPMCGLM: Correction of the P-Value after Multiple Coding in Generalized Linear Models. R package version 1.2, https://cran.r-project.org/web/packages/CPMCGLM. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2012-03-29 14:11), 1.1 (2013-11-06 23:09)
Other packages that cited CPMCGLM R package
View CPMCGLM citation profile
Other R packages that CPMCGLM depends, imports, suggests or enhances
Complete documentation for CPMCGLM
Functions, R codes and Examples using the CPMCGLM R package
Some associated functions: CPMCGLM . ForInternalUse . data_sim . print.CPMCGLM . summary.CPMCGLM . 
Some associated R codes: Boxcox.R . CPMCGLM.R . Codage.R . FP.R . bestcod.R . codcut.R . permut.R . print.CPMCGLM.R . summary.CPMCGLM.R . test.liquet.R . test.score.R . tmultboot.R . transf.R .  Full CPMCGLM package functions and examples
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