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.


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install.packages("mhazard")

0.2.3 by Eric Bair, 3 years ago


Browse source code at https://github.com/cran/mhazard


Authors: Eric Bair [aut, cre] , Taylor Petty [aut] , Shanshan Zhao [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, boot, plot3D, survival, rootSolve

Linking to Rcpp, RcppArmadillo


See at CRAN