c(person("Anthony", "Christidis", role=c("aut", "cre"), email = "anthony.christidis@stat.ubc.ca"),
person("Stefan", "Van Aelst", role=c("aut"), email = "stefan.vanaelst@kuleuven.be"),
person("Ruben", "Zamar", role=c("aut"), email = "ruben@stat.ubc.ca"))
Anthony Christidis [aut, cre],
Stefan Van Aelst [aut],
Ruben Zamar [aut]

This package follows the work of Parnell and Haslett (2007, submitted to JRSSC; contact the author for a pre-print). It runs MCMC, predictions and plots for radiocarbon-dated sediment cores.

Find the maximum likelihood estimator of the shape constrained
hazard baseline and the effect parameters in the Cox
proportional hazards model
Rihong Hui and Hanna Jankowski <hkj@mathstat.yorku.ca>
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.

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.

Correction of the pvalue after multiple coding
Jeremie Riou, Amadou Diakite, and Benoit Liquet
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.