Package: frailtypack
Version: 2.2-22
Date: 2012-03-09
Title: General Frailty models using a semi_parametrical penalized
likelihood estimation or a parametrical estimation
Author: Juan R. Gonzalez, Virginie Rondeau, Yassin Mazroui, Audrey
Mauguen and Amadou Diakite
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Depends: survival, boot
LazyLoad: yes
Description: Frailtypack now fits several classes of frailty models
using a penalized likelihood estimation on the hazard function
but also a parametrical estimation. 1) A shared gamma frailty
model and Cox proportional hazard 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 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 of recurrent events with terminal event. Prediction
values are available. The package includes concordance measures
for Cox proportional hazards models and for shared frailty
models.
License: GPL (>= 2.0)
URL: http://www.r-project.org
Encoding: latin1
Repository: CRAN
Date/Publication: 2012-03-13 14:57:18
Packaged: 2012-03-13 17:33:55 UTC; ad6

Package: frailtypack
Version: 2.2-23
Date: 2012-03-09
Title: General Frailty models using a semi_parametrical penalized
likelihood estimation or a parametrical estimation
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey
Mauguen and Amadou Diakite
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Depends: survival, boot
LazyLoad: yes
Description: Frailtypack now fits several classes of frailty models
using a penalized likelihood estimation on the hazard function
but also a parametrical estimation. 1) A shared gamma frailty
model and Cox proportional hazard 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 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 of recurrent events with terminal event. Prediction
values are available. The package includes concordance measures
for Cox proportional hazards models and for shared frailty
models.
License: GPL (>= 2.0)
URL: http://www.r-project.org
Encoding: latin1
Repository: CRAN
Date/Publication: 2012-04-05 14:52:47
Packaged: 2012-04-05 14:06:00 UTC; ad6