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: |
1.3.4 |
Depends: |
R (≥ 3.5), timereg (≥ 1.9.4) |
Imports: |
lava (≥ 1.7.1), mvtnorm, numDeriv, compiler, Rcpp, splines, survival (≥ 2.43-1) |
LinkingTo: |
Rcpp, RcppArmadillo, mvtnorm |
Suggests: |
optimx, prodlim, cmprsk, testthat (≥ 0.11), ucminf, knitr, rmarkdown, ggplot2, cowplot, icenReg |
Published: |
2024-02-16 |
DOI: |
10.32614/CRAN.package.mets |
Author: |
Klaus K. Holst [aut, cre],
Thomas Scheike [aut] |
Maintainer: |
Klaus K. Holst <klaus at holst.it> |
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 |