mets: Analysis of Multivariate Event Times

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

Downloads:

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 dependencies:

Reverse depends: lava.tobit
Reverse suggests: gap, lava, Publish, riskRegression

Linking:

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