Nonparametric Estimation of the Distribution of Gap Times for Recurrent Events

Provides estimates for the bivariate and trivariate distribution functions and bivariate and trivariate survival functions for censored gap times. Two approaches, using existing methodologies, are considered: (i) the Lin's estimator, which is based on the extension the Kaplan-Meier estimator of the distribution function for the first event time and the Inverse Probability of Censoring Weights for the second time (Lin DY, Sun W, Ying Z (1999) and (ii) another estimator based on Kaplan-Meier weights (Una-Alvarez J, Meira-Machado L (2008) < https://w3.math.uminho.pt/~lmachado/Biometria_conference.pdf>). The proposed methods are the landmark estimators based on subsampling approach, and the estimator based on weighted cumulative hazard estimator. The package also provides nonparametric estimator conditional to a given continuous covariate. All these methods have been submitted to be published.


survivalREC: Nonparametric estimation of the distribution of gap times for recurrent events.

survivalREC is an R package which provides estimates for the bivariate and trivariate distribution functions and bivariate and trivariate survival functions for censored gap times.

Reference manual

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install.packages("survivalREC")

1.1 by Gustavo Soutinho, 3 years ago


Browse source code at https://github.com/cran/survivalREC


Authors: Gustavo Soutinho [aut, cre] , Luis Meira-Machado [aut] , Artur Araujo [ctb] , Ana Moreira [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports survival, KernSmooth, graphics, stats, utils, methods

Suggests rmarkdown, knitr


See at CRAN