gcmrec
General Class of Models for Recurrent Event Data
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.0 |
rolling linux/jammy R-4.5 | gcmrec_2.0.0.tar.gz |
1.0 MiB |
2.0.0 |
rolling linux/noble R-4.5 | gcmrec_2.0.0.tar.gz |
1.0 MiB |
2.0.0 |
rolling source/ R- | gcmrec_2.0.0.tar.gz |
887.1 KiB |
2.0.0 |
latest linux/jammy R-4.5 | gcmrec_2.0.0.tar.gz |
1.0 MiB |
2.0.0 |
latest linux/noble R-4.5 | gcmrec_2.0.0.tar.gz |
1.0 MiB |
2.0.0 |
latest source/ R- | gcmrec_2.0.0.tar.gz |
887.1 KiB |
2.0.0 |
2026-04-23 source/ R- | gcmrec_2.0.0.tar.gz |
0 B |