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.
| Version: | 0.1.2 |
| Imports: | Rcpp, boot, plot3D, survival, rootSolve |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-08-01 |
| Author: | Eric Bair [aut, cre], Shanshan Zhao [aut] |
| Maintainer: | Eric Bair <eric.bair at sciome.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | mhazard results |
| Reference manual: | mhazard.pdf |
| Package source: | mhazard_0.1.2.tar.gz |
| Windows binaries: | r-devel: mhazard_0.1.2.zip, r-release: mhazard_0.1.2.zip, r-oldrel: mhazard_0.1.2.zip |
| macOS binaries: | r-release: mhazard_0.1.2.tgz, r-oldrel: mhazard_0.1.2.tgz |
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