Nonparametric Estimation of the Distribution of Gap Times for Recurrent Events R package survivalREC version 1.1 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) <doi:10.1093/biomet/86.1.59> 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. Software Depends: R (>= 3.5.0) Imports: survival, KernSmooth, graphics, stats, utils, methods Suggests: rmarkdown, knitr Gustavo Soutinho <gustavosoutinho@sapo.pt> Comprehensive R Archive Network (CRAN) Gustavo Soutinho [aut, cre] (ORCID: <https://orcid.org/0000-0002-0559-1327>), Luis Meira-Machado [aut] (ORCID: <https://orcid.org/0000-0002-8577-7665>), Artur Araujo [ctb] (ORCID: <https://orcid.org/0000-0003-1419-4208>), Ana Moreira [ctb] GPL-3 2023-08-09 application/tgz https://CRAN.R-project.org/package=survivalREC doi:10.32614/CRAN.package.survivalREC