survrec-package: survrec: Survival Analysis for Recurrent Event Data

In survrec: Survival Analysis for Recurrent Event Data

survrec: Survival Analysis for Recurrent Event Data

Description

Estimation of the survival function of inter-occurrence times for recurrent event data. Three estimators are available: the generalized product-limit estimator of Peña, Strawderman and Hollander (2001), the estimator of Wang and Chang (1999) for correlated inter-occurrence times, and maximum likelihood estimation under a gamma frailty model. Survival quantiles can be compared between groups through several bootstrap schemes.

Details

The main entry points are Survr() to build the response object, survfitr() to estimate survival curves (optionally by group) and survdiffr() to bootstrap survival quantiles.

Author(s)

Maintainer: Dolors Pelegri-Siso [e-mail] (ORCID)

Authors:

• Juan R. González [e-mail]

• Edsel A. Peña

• Robert L. Strawderman

References

Peña, E.A., Strawderman, R. and Hollander, M. (2001). Nonparametric Estimation with Recurrent Event Data. Journal of the American Statistical Association 96, 1299–1315.

Wang, M.-C. and Chang, S.-H. (1999). Nonparametric Estimation of a Recurrent Survival Function. Journal of the American Statistical Association 94, 146–153.

See Also

Useful links:

• https://github.com/isglobal-brge/survrec

• Report bugs at https://github.com/isglobal-brge/survrec/issues

survrec documentation built on Sept. 22, 2026, 9:07 a.m.