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mhazard
View on CRAN: Click
here
Download and install mhazard package within the R console
Install from CRAN:
install.packages("mhazard")
Install from Github:
library("remotes")
install_github("cran/mhazard")
Install by package version:
library("remotes")
install_version("mhazard", "0.2.3")
Attach the package and use:
library("mhazard")
Maintained by
Eric Bair
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-01
Latest Update: 2023-08-17
Description:
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.
How to cite:
Eric Bair (2020). mhazard: Nonparametric and Semiparametric Methods for Multivariate Failure Time Data. R package version 0.2.3, https://cran.r-project.org/web/packages/mhazard
Previous versions and publish date:
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Other R packages that mhazard depends,
imports, suggests or enhances
Functions, R codes and Examples using
the mhazard R package
Some associated functions: anemia . bladder . clayton_sim . genClayton2 . genClayton3 . genClaytonReg . mHR2.LF . mHR2 . mHR2.tvc . npSurv2 . npSurv3 . plotnpSurv2.3D . plotnpSurv2.HM . tvc.example .
Some associated R codes: RcppExports.R . datadocs.R . genClayton2.R . genClayton3.R . genClaytonReg.R . mHR2.R . mHR2_tvc.R . npSurv2.R . npSurv2_plots.R . npSurv3.R . Full mhazard package functions and examples
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