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CPMCGLM (version 1.2)

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

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.

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Version

Install

install.packages('CPMCGLM')

Monthly Downloads

181

Version

1.2

License

GPL (> 2)

Maintainer

Jeremie Riou

Last Published

December 6th, 2017

Functions in CPMCGLM (1.2)

summary.CPMCGLM

Short summary of a CPMCGLM object
CPMCGLM

Correction of the significance level after multiple coding of an explanatory variable in generalized linear model.
ForInternalUse

For internal use only ...
data_sim

dataset for CPMCGLM package.
print.CPMCGLM

Output of a CPMCGLM object