Package: frailtypack
Version: 1.0-0
Date: 2005-03-21
Title: Frailty models using maximum penalized likelihood estimation
Author: Modified Fortran routines, R code and packaged by Juan R Gonzalez <jrgonzalez@ico.scs.es>.
Original Fortran routines by Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Maintainer: Juan R Gonzalez <jrgonzalez@ico.scs.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. Andersen-Gill ....
License: GPL version 2 or newer
URL: http://www.r-project.org
Packaged: Sat Mar 26 22:15:50 2005; hornik

Package: frailtypack
Version: 2.0-0
Date: 2005-05-17
Title: Frailty models using maximum penalized likelihood estimation
Author: Modified Fortran routines, R code and packaged by Juan R Gonzalez <jrgonzalez@ico.scs.es>.
Original Fortran routines by Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Maintainer: Juan R Gonzalez <jrgonzalez@ico.scs.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
Packaged: Mon May 30 12:48:13 2005; hornik

Package: frailtypack
Version: 2.0-1
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: Fri Nov 18 13:30:19 2005; jrgonzalez