doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.">

mets: Analysis of Multivariate Event Times (original) (raw)

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Version:

1.3.6

Depends:

R (≥ 3.5)

Imports:

Rcpp, compiler, lava (≥ 1.8.0), methods, mvtnorm, numDeriv, splines, survival (≥ 2.43-1), timereg (≥ 1.9.4)

LinkingTo:

Rcpp, RcppArmadillo, mvtnorm

Suggests:

cmprsk, cowplot, ggplot2, icenReg, knitr, mets, optimx, prodlim, rmarkdown, tinytest (≥ 1.4.1), ucminf

Published:

2025-04-23

DOI:

10.32614/CRAN.package.mets

Author:

Klaus K. Holst [aut, cre], Thomas Scheike [aut]

Maintainer:

Klaus K. Holst

BugReports:

https://github.com/kkholst/mets/issues

License:

GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL:

https://kkholst.github.io/mets/

NeedsCompilation:

yes

Citation:

mets citation info

Materials:

README NEWS

In views:

Survival

CRAN checks:

mets results