Multivariate Survival Function Estimation and Regression

Estimates the survival function and Cox regression parameters for the multivariate survival setting where there are multiple (right-censored) outcome variables. The Volterra, Dabrowska, and Prentice-Cai estimates of the bivariate survival function may be computed as well as the Dabrowska estimate of the trivariate survival function. Bivariate Cox regression estimates can also be computed. 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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("mhazard")

0.1.2 by Eric Bair, 11 days ago


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


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


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, boot, plot3D, survival, rootSolve

Linking to Rcpp, RcppArmadillo


See at CRAN