mhazard
Nonparametric and Semiparametric Methods for Multivariate Failure Time Data
Nonparametric survival function estimates and semiparametric regression for the multivariate failure time data with right-censoring. For nonparametric survival function estimates, the Volterra, Dabrowska, and Prentice-Cai estimates for bivariate failure time data may be computed as well as the Dabrowska estimate for the trivariate failure time data. Bivariate marginal hazard rate regression can be fitted for the bivariate failure time data. Functions are also provided to compute (bootstrap) confidence intervals and plot the estimates of the bivariate survival function. For details, see "The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach", Prentice, R., Zhao, S. (2019, ISBN: 978-1-4822-5657-4), CRC Press.
- Version0.2.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/17/2023
Documentation
Team
Eric Bair
Shanshan Zhao
Show author detailsRolesAuthorTaylor Petty
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 177 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
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Last 365 days
This package has been downloaded 2,676 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 Sep 11, 2024 with 34 downloads.
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- Imports5 packages
- Linking To2 packages