Package: frailtypack
Version: 2.0-2
Date: 2005-Nov-18
Title: Frailty models using maximum penalized likelihood estimation
Author: Juan R Gonz�lez, and Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Maintainer: Juan R Gonzalez <juanramon.gonzalez@crg.es>
Depends: R (>= 2.0.0), survival
Description: Fit a shared gamma frailty model and Cox proportional hazards model using a Penalized Likelihood
on the hazard function. Left truncated, censored data and strata (max=2) are allowed. Clustered and
recurrent survival times can be studied  (the  Andersen-Gill (1982) approach has been implemented
for recurrent events). An automatic choice of the smoothing parameter is possible using an approximated
cross-validation procedure.
License: GPL version 2 or newer
URL: http://www.r-project.org
Encoding: latin1
Packaged: Mon Nov 21 14:56:01 2005; jrgonzalez

Package: frailtypack
Version: 2.1-1
Date: 2008-Jul-21
Title: Frailty models using maximum penalized likelihood estimation
Author: Juan R Gonz�lez, and Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Maintainer: Juan R Gonzalez <jrgonzalez@creal.cat>
Depends: R (>= 2.0.0), survival
Description: Fit a shared gamma frailty model and Cox proportional hazards model using a Penalized Likelihood
on the hazard function. Left truncated, censored data and strata (max=2) are allowed. Clustered and
recurrent survival times can be studied  (the  Andersen-Gill (1982) approach has been implemented
for recurrent events). An automatic choice of the smoothing parameter is possible using an approximated
cross-validation procedure.
License: GPL version 2 or newer
URL: http://www.r-project.org
Encoding: latin1
Packaged: Fri Jul 25 11:15:44 2008; jrgonzalez

Package: frailtypack
Version: 2.2-12
Date: 2010-01-11
Title: Frailty models using maximum penalized likelihood estimation
Author: Juan R Gonz�lez, Virginie Rondeau
<Virginie.Rondeau@isped.u-bordeaux2.fr> and Yassin Mazroui
<Yassin.Mazroui@isped.u-bordeaux2.fr>
Maintainer: Juan R Gonzalez <jrgonzalez@creal.cat>
Depends: R (>= 2.0.0), survival
Description: Frailtypack now fits several classes of frailty models
using Penalized Likelihood on the hazard function. 1) A shared
gamma frailty model and Cox proportional hazards model. Left
truncated, censored data and strata (max=2) are allowed.
Clustered and recurrent survival times can be studied (the
Andersen-Gill(1982) approach has been implemented for recurrent
events). An automatic choice of the smoothing parameter is
possible using an approximated cross-validation procedure. 2)
Additive frailty models for proportional hazards models with
two correlated random effects (intercept random effect with
random slope). 3) Nested frailty models for hierarchically
clustered data (with 2 levels of clustering) by including two
iid gamma random effects. 4) Joint frailty models in the
context of joint modelling of recurrent events with terminal
event.
License: GPL (>= 2)
URL: http://www.r-project.org
Encoding: latin1
Packaged: Mon Jan 11 08:38:43 2010; jrgonzalez
Repository: CRAN
Date/Publication: 2010-01-11 07:50:35