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)) and (ii) another estimator based on Kaplan-Meier weights (Una-Alvarez J, Meira-Machado L (2008)). 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.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/09/2023
Documentation
Team
Gustavo Soutinho
MaintainerShow author detailsArtur Araujo
Show author detailsRolesContributorLuis Meira-Machado
Ana Moreira
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 106 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 1,544 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 24, 2024 with 21 downloads.
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Dependencies
- Imports2 packages
- Suggests2 packages