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: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
survival, KernSmooth, graphics, stats, utils |
| Suggests: |
rmarkdown, knitr |
| Published: |
2022-03-15 |
| Author: |
Gustavo Soutinho 
[aut, cre],
Luis Meira-Machado
[aut],
Artur Araujo
[ctb],
Ana Moreira [ctb] |
| Maintainer: |
Gustavo Soutinho <gustavosoutinho at sapo.pt> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
survivalREC results |
Documentation:
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