data_sim


This simulated dataset contains 100 subjects and 8 variables. 


datasets

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 developped 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 developped by B.Liquet & D.Commenges in 2005. The naive method with no correction is also available.

Jeremie Riou

CPMCGLM

Correction of the pvalue after multiple coding

data_sim function

A data frame with 100 observations on the following 8 variables.
  <dl>
    <dt><code>Height</code></dt><dd>a numeric vector</dd> <dt><code>Weight</code></dt><dd>a numeric vector</dd> <dt><code>Age</code></dt><dd>a numeric vector</dd> <dt><code>Smoke</code></dt><dd>a binary vector</dd> <dt><code>Sport</code></dt><dd>a numeric vector</dd> <dt><code>Desease</code></dt><dd>a numeric vector</dd> <dt><code>Parameter</code></dt><dd>a binary vector</dd> <dt><code>Stroke</code></dt><dd>a categorical vector</dd> </dl> 

data_sim: dataset for CPMCGLM package.

Description

Usage

Arguments

Format

Examples