General Class of Models for Recurrent Event Data R package gcmrec version 2.0.0 Parameter estimation for the general class of semiparametric models for recurrent event data proposed by Peña and Hollander (2004, <ISBN:978-1-4020-7737-6>). The model incorporates an effective age function encoding the impact of interventions after each event occurrence, the effect of accumulating event occurrences, a link function for possibly time-dependent covariates, and optional gamma frailties to induce dependence among inter-event times. It also fits the extension for cancer relapses of González et al. (2005) <doi:10.1002/sim.2410>. Estimation is performed by profile likelihood, with an expectation-maximization algorithm for the frailty model, and the package provides descriptive, diagnostic and predictive tools for the fitted models. Software Depends: R (>= 3.5.0) Imports: Rcpp, survival, ggplot2, scales, rlang, stats, graphics, grDevices LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle Dolors Pelegri-Siso <dolors.pelegri@isglobal.org> Comprehensive R Archive Network (CRAN) Dolors Pelegri-Siso [aut, cre] (ORCID: <https://orcid.org/0000-0002-5993-3003>), Juan R. González [aut], Elizabeth H. Slate [aut], Edsel A. Peña [aut] GPL (>= 2) 2026-09-12 application/tgz https://CRAN.R-project.org/package=gcmrec doi:10.32614/CRAN.package.gcmrec