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 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.

data_sim: dataset for CPMCGLM package.

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