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survivalREC: 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) <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.

Version: 1.1
Depends: R (≥ 3.5.0)
Imports: survival, KernSmooth, graphics, stats, utils, methods
Suggests: rmarkdown, knitr
Published: 2023-08-09
DOI: 10.32614/CRAN.package.survivalREC
Author: Gustavo Soutinho ORCID iD [aut, cre], Luis Meira-Machado ORCID iD [aut], Artur Araujo ORCID iD [ctb], Ana Moreira [ctb]
Maintainer: Gustavo Soutinho <gustavosoutinho at sapo.pt>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: survivalREC results

Documentation:

Reference manual: survivalREC.pdf
Vignettes: survivalREC: Nonparametric Estimation of the Distribution of Gap Times for Recurrent Events

Downloads:

Package source: survivalREC_1.1.tar.gz
Windows binaries: r-devel: survivalREC_1.1.zip, r-release: survivalREC_1.1.zip, r-oldrel: survivalREC_1.1.zip
macOS binaries: r-release (arm64): survivalREC_1.1.tgz, r-oldrel (arm64): survivalREC_1.1.tgz, r-release (x86_64): survivalREC_1.1.tgz, r-oldrel (x86_64): survivalREC_1.1.tgz
Old sources: survivalREC archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.