Package: frailtypack
Version: 2.2-13
Date: 2010-04-22
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: Fri Apr 30 08:14:28 2010; jrgonzalez
Repository: CRAN
Date/Publication: 2010-05-01 15:59:36

Package: frailtypack
Version: 2.2-14
Date: 2010-05-17
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 May 17 08:22:51 2010; jrgonzalez
Repository: CRAN
Date/Publication: 2010-05-18 13:36:17