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: | 1.2.2 |
| Depends: | R (≥ 3.3), timereg (≥ 1.9), lava (≥ 1.5) |
| Imports: | numDeriv, compiler, Rcpp, splines, survival |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | lava.tobit (≥ 0.4-7), prodlim, testthat (≥ 0.11), ucminf, R.rsp (≥ 0.40) |
| Published: | 2017-03-30 |
| Author: | Klaus K. Holst and Thomas Scheike |
| 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://github.com/kkholst/mets |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Survival |
| CRAN checks: | mets results |
| Reference manual: | mets.pdf |
| Vignettes: |
Manipulation of data-frame data with dutility functions Analysis of multivariate binomial data: case control or ascertainment sampling Analysis of multivariate binomial data: family analysis Analysis of bivariate binomial data: Twin analysis Twin analysis of quantitative outcomes |
| Package source: | mets_1.2.2.tar.gz |
| Windows binaries: | r-devel: mets_1.2.2.zip, r-release: mets_1.2.2.zip, r-oldrel: mets_1.2.2.zip |
| OS X El Capitan binaries: | r-release: mets_1.2.2.tgz |
| OS X Mavericks binaries: | r-oldrel: mets_1.2.2.tgz |
| Old sources: | mets archive |
| Reverse depends: | lava.tobit |
| Reverse suggests: | gap, lava, riskRegression |
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