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>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).
Version: |
1.3.0 |
Depends: |
R (≥ 3.5), timereg (≥ 1.9.4), lava (≥ 1.6.6) |
Imports: |
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: |
2022-09-05 |
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 |
SystemRequirements: |
C++11 |
Citation: |
mets citation info |
Materials: |
README NEWS |
In views: |
Survival |
CRAN checks: |
mets results |