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CPMCGLM (version 1.0)

Correction of the pvalue after multiple coding

Description

We propose to determine the correction of the significance level after multiple coding of an explanatory variable in Generalized Linear Model. The possible codings are: Box-Cox, dichotomous and categorical transformations. The different methods of correction of the p-value are the Single step Bonferroni procedure, and resampling based methods(permutation and the parametric bootstrap procedure). If only some continuous, and dichotomous transformations are performed this package offers an exact correction of the p-value developped 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

1.0

License

GPL (> 2)

Maintainer

Jeremie Riou

Last Published

March 29th, 2012

Functions in CPMCGLM (1.0)

print.CPMCGLM

Output of a CPMCGLM object
CPMCGLM

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

Short summary of a CPMCGLM object
data_sim

dataset for CPMCGLM package.
For internal use only ...

For internal use only ...