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mhazard

Nonparametric and Semiparametric Methods for Multivariate Failure Time Data

Installation

About

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.

Key Metrics

Version 0.2.3
R ≥ 3.5.0
Published 2023-08-17 256 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Eric Bair

eric.bair@sciome.com

Authors

Eric Bair

aut / cre

Taylor Petty

aut

Shanshan Zhao

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mhazard archive

Depends

R ≥ 3.5.0

Imports

Rcpp
boot
plot3D
survival
rootSolve

LinkingTo

Rcpp
RcppArmadillo