Implementation of various statistical models for multivariate
event history data. Including multivariate cumulative incidence models, and
bivariate random effects probit models (Liability models). 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: |
1.2 |
| Depends: |
R (≥ 3.3), timereg (≥ 1.8.9), lava (≥ 1.4.7) |
| Imports: |
numDeriv, compiler, Rcpp, splines, survival |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
lava.tobit (≥ 0.4-7), prodlim, testthat (≥ 0.11), ucminf |
| Published: |
2017-02-04 |
| Author: |
Klaus K. Holst and Thomas Scheike |
| Maintainer: |
Klaus K. Holst <klaus at holst.it> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/kkholst/mets |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Survival |
| CRAN checks: |
mets results |