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gcmrec  

General Class of Models for Recurrent Event Data
View on CRAN: Click here


Download and install gcmrec package within the R console
Install from CRAN:
install.packages("gcmrec")

Install from Github:
library("remotes")
install_github("cran/gcmrec")

Install by package version:
library("remotes")
install_version("gcmrec", "2.0.0")



Attach the package and use:
library("gcmrec")
Maintained by
Dolors Pelegri-Siso
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-12
Latest Update: 2026-09-12
Description:
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.
How to cite:
Dolors Pelegri-Siso (2026). gcmrec: General Class of Models for Recurrent Event Data. R package version 2.0.0, https://cran.r-project.org/web/packages/gcmrec. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 0.9-1 (2005-04-10 23:13), 0.9-2 (2005-11-18 20:07), 1.0-2 (2008-09-28 20:25), 1.0-3 (2009-02-06 12:32)
Other packages that cited gcmrec R package
View gcmrec citation profile
Other R packages that gcmrec depends, imports, suggests or enhances
Complete documentation for gcmrec
Functions, R codes and Examples using the gcmrec R package
Full gcmrec package functions and examples
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