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.

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Description file content

Package
CPMCGLM
Version
1.2
Date
2017-11-28
Title
Correction of the P-Value after Multiple Coding in Generalized Linear Models
Author
Jeremie Riou, and Benoit Liquet
Maintainer
Jeremie Riou
LazyLoad
yes
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.
License
GPL (> 2)
Depends
R (>= 2.10.0), mvtnorm, plyr, abind
URL
Repository
CRAN
NeedsCompilation
no
Packaged
2017-12-04 19:13:37 UTC; riou
Date/Publication
2017-12-06 13:47:46 UTC

install.packages('CPMCGLM')

1.2

7 days ago

https://cran.r-project.org/

Jeremie Riou

GPL (> 2)

Depends on

R (>= 2.10.0), mvtnorm, plyr, abind

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