Packaged: Sun Nov 25 15:20:03 2007; parnella

Packaged: Thu Dec 13 09:06:23 2007; hornik

Title: Find the maximum likelihood estimator of the shape constrained
hazard baseline and the effect parameters in the Cox
Author: Rihong Hui and Hanna Jankowski <hkj@mathstat.yorku.ca>
Description: This package computes the maximum likelihood estimator (MLE) of the shape-constrained hazard baseline and the effect parameters in the Cox proportional hazards model under IID sampling.  We assume that the data are continuous and allow for right censoring.  The function 'find.shapeMLE' allows for four different shape constraints: increasing, decreasing, unimodal, and u-shaped.

Description: This package computes the maximum likelihood estimator
(MLE) of the shape-constrained hazard baseline and the effect
parameters in the Cox proportional hazards model under IID
sampling.  We assume that the data are continuous and allow for
right censoring.  The function 'find.shapeMLE' allows for four
different shape constraints: increasing, decreasing, unimodal,

Title: Correction of the pvalue after multiple coding
Author: Jeremie Riou, Amadou Diakite, and Benoit Liquet
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

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 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.