Package: frailtypack
Version: 2.2-9.5
Date: 2009-10-22
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 Oct 23 08:17:53 2009; jrgonzalez
Repository: CRAN
Date/Publication: 2009-10-23 06:40:55

Package: frailtypack
Version: 2.3
Date: 2013-02-08
Title: General Frailty models using a semiparametric penalized
likelihood estimation or a parametric estimation
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey
Mauguen, Amadou Diakite and Alexandre Laurent
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Depends: R (>= 2.10), survival, boot
LazyLoad: no
Description: Frailtypack now fits several classes of frailty models
using a penalized likelihood estimation on the hazard function
but also a parametric estimation. 1) A shared frailty model
(with gamma or log-normal frailty distribution) and Cox
proportional hazard model. 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 hazard 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 for recurrent
events with terminal event for clustered data or not.
Prediction values are available. Left truncated (not for Joint
model), right-censored data, interval-censored data (only for
Cox proportional hazard and shared frailty model) and strata
(max=2) are allowed. In each model, the random effects have a
gamma distribution, but you can switch to a log-normal in
shared and joint models. The package includes concordance
measures for Cox proportional hazards models and for shared
frailty models.
License: GPL (>= 2.0)
URL:
http://virginierondeau.com/BiostatisticalConsulting/Liste_of_examples.html
Encoding: latin1
Repository: CRAN
Date/Publication: 2013-02-09 07:49:17
Packaged: 2013-02-08 18:03:57 UTC; al7