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: | 0.2.8 |
Depends: | R (≥ 2.15), timereg (≥ 1.8.4), lava (≥ 1.2.4) |
Imports: | numDeriv, compiler, Rcpp, splines |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | lava.tobit (≥ 0.4-7), prodlim, testthat, ucminf |
Published: | 2014-05-13 |
Author: | Klaus K. Holst and Thomas Scheike |
Maintainer: | Klaus K. Holst <kkho at biostat.ku.dk> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://lava.r-forge.r-project.org/ |
NeedsCompilation: | yes |
Materials: | NEWS |
In views: | Survival |
CRAN checks: | mets results |
Reference manual: | mets.pdf |
Package source: | mets_0.2.8.tar.gz |
Windows binaries: | r-devel: mets_0.2.8.zip, r-release: mets_0.2.8.zip, r-oldrel: mets_0.2.8.zip |
OS X Snow Leopard binaries: | r-release: mets_0.2.8.tgz, r-oldrel: mets_0.2.8.tgz |
OS X Mavericks binaries: | r-release: mets_0.2.8.tgz |
Old sources: | mets archive |
Reverse suggests: | gap, lava |