# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "frailtypack" in publications use:' type: software license: GPL-2.0-or-later title: 'frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints' version: 3.8.2 identifiers: - type: doi value: 10.32614/CRAN.package.frailtypack abstract: 'The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 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. 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 the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time and/or longitudinal endpoints with the possibility to use a mediation analysis model. 11) Conditional and Marginal two-part joint models for longitudinal semicontinuous data and a terminal event. 12) Joint frailty-copula models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints. 13) Generalized shared and joint frailty models for recurrent and terminal events. Proportional hazards (PH), additive hazard (AH), proportional odds (PO) and probit models are available in a fully parametric framework. For PH and AH models, it is possible to consider type-varying coefficients and flexible semiparametric hazard function. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models. 14) Competing Joint Frailty Model: A single type of recurrent event and two terminal events. 15) functions to compute power and sample size for four Gamma-frailty-based designs: Shared Frailty Models, Nested Frailty Models, Joint Frailty Models, and General Joint Frailty Models. Each design includes two primary functions: a power function, which computes power given a specified sample size; and a sample size function, which computes the required sample size to achieve a specified power. 16) Weibull Illness-Death model with or without shared frailty between transitions. Left-truncated and right-censored data are allowed. 17) Weibull Competing risks model with or without shared frailty between the transitions. Left-truncated and right-censored data are allowed. Moreover, the package can be used with its shiny application, in a local mode or by following the link below.' authors: - family-names: Rondeau given-names: Virginie email: virginie.rondeau@u-bordeaux.fr orcid: https://orcid.org/0000-0001-7109-4831 - family-names: Gonzalez given-names: Juan R. - family-names: Mazroui given-names: Yassin - family-names: Mauguen given-names: Audrey - family-names: Diakite given-names: Amadou - family-names: Laurent given-names: Alexandre - family-names: Lopez given-names: Myriam - family-names: Krol given-names: Agnieszka - family-names: Sofeu given-names: Casimir L. - family-names: Dumerc given-names: Julien - family-names: Rustand given-names: Denis - family-names: Chauvet given-names: Jocelyn - family-names: Le Coent given-names: Quentin - family-names: Pierlot given-names: Romain - family-names: Etzkorn given-names: Lacey - family-names: Dinart given-names: Derek - family-names: Orué given-names: Adrien - family-names: Bifenzi given-names: Ayoub - family-names: Philipps given-names: Viviane preferred-citation: type: article title: 'frailtypack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood Estimation or Parametrical Estimation' authors: - family-names: Rondeau given-names: Virginie email: virginie.rondeau@u-bordeaux.fr orcid: https://orcid.org/0000-0001-7109-4831 - family-names: Mazroui given-names: Yassin - family-names: R. Gonzalez given-names: Juan journal: Journal of Statistical Software year: '2012' volume: '47' issue: '4' url: https://www.jstatsoft.org/v47/i04/ start: 1-28 repository: https://vrondeau.r-universe.dev repository-code: https://github.com/vrondeau/frailtypack commit: 0eeba6de3c6de7f358f4d384f478a421444f753a url: https://frailtypack-pkg.shinyapps.io/shiny_frailtypack/ date-released: '2026-11-02' contact: - family-names: Rondeau given-names: Virginie email: virginie.rondeau@u-bordeaux.fr orcid: https://orcid.org/0000-0001-7109-4831 references: - type: article title: 'Frailtypack: A computer program for the analysis of correlated failure time data using penalized likelihood estimation' authors: - family-names: Rondeau given-names: Virginie - family-names: R. Gonzalez given-names: Juan journal: Computer Methods and Programs in Biomedicine year: '2005' volume: '80' issue: '2' start: 154-164 - type: article title: 'Tutorial in Joint Modeling and Prediction: A Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event' authors: - family-names: Kr\'ol given-names: Agnieszka email: Agnieszka.Listwon@u-bordeaux.fr - family-names: Mauguen given-names: Audrey email: Audrey.Mauguen@u-bordeaux.fr - family-names: Mazroui given-names: Yassin email: Yassin.Mazroui@upmc.fr - family-names: Laurent given-names: Alexandre - family-names: Michiels given-names: Stefan email: Stefan.Michiels@gustaveroussy.fr - family-names: Rondeau given-names: Virginie email: Virginie.Rondeau@u-bordeaux.fr journal: Journal of Statistical Software year: '2017' volume: '81' issue: '3' doi: 10.18637/jss.v081.i03 start: '1' end: '52' - type: manual title: 'frailtypack: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints' authors: - family-names: Rondeau given-names: Virginie email: Virginie.Rondeau@u-bordeaux.fr - family-names: Gonzalez given-names: Juan R. - family-names: Mazroui given-names: Yassin email: Yassin.Mazroui@upmc.fr - family-names: Mauguen given-names: Audrey email: Audrey.Mauguen@u-bordeaux.fr - family-names: Diakite given-names: Amadou - family-names: Laurent given-names: Alexandre - family-names: Lopez given-names: Myriam - family-names: Kr\'ol given-names: Agnieszka email: Agnieszka.Listwon@u-bordeaux.fr - family-names: Sofeu given-names: Casimir L. email: casimir.sofeu@u-bordeaux.fr year: '2019' notes: R package version 3.0.3 url: https://CRAN.R-project.org/package=frailtypack