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.

Version:	0.2.3
Depends:	R (≥ 3.5.0)
Imports:	Rcpp, boot, plot3D, survival, rootSolve
LinkingTo:	Rcpp, RcppArmadillo
Published:	2023-08-17
DOI:	10.32614/CRAN.package.mhazard
Author:	Eric Bair [aut, cre], Taylor Petty [aut], Shanshan Zhao [aut]
Maintainer:	Eric Bair <eric.bair at sciome.com>
License:	GPL-3
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	mhazard results

Documentation:

Reference manual:

mhazard.pdf

Downloads:

Package source:	mhazard_0.2.3.tar.gz
Windows binaries:	r-devel: mhazard_0.2.3.zip, r-release: mhazard_0.2.3.zip, r-oldrel: mhazard_0.2.3.zip
macOS binaries:	r-release (arm64): mhazard_0.2.3.tgz, r-oldrel (arm64): mhazard_0.2.3.tgz, r-release (x86_64): mhazard_0.2.3.tgz, r-oldrel (x86_64): mhazard_0.2.3.tgz
Old sources:	mhazard archive

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