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mhazard

Nonparametric and Semiparametric Methods for Multivariate Failure Time Data

v0.2.3 · Aug 17, 2023 · GPL-3

Description

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.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp boot plot3D survival rootSolve mhazard

Version History

new 0.2.3 Mar 10, 2026
updated 0.2.3 ← 0.2.2 diff Aug 16, 2023
updated 0.2.2 ← 0.2.1 diff Aug 8, 2023
updated 0.2.1 ← 0.1.2 diff May 28, 2022
new 0.1.2 Jul 31, 2020