General Frailty models using a semi_parametrical penalized likelihood estimation or a parametrical estimation CRAN Task View: SocialSciences (http://CRAN.R-project.org/view=SocialSciences) CRAN Task View: Survival (http://CRAN.R-project.org/view=Survival) 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. Software Depends: survival, boot Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr> Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen and Amadou Diakite GPL (>= 2.0) 2012-04-05 application/tgz http://CRAN.R-project.org/package=frailtypack