mets: Analysis of Multivariate Event Times

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).

Depends: R (≥ 3.3), timereg (≥ 1.9.2), lava (≥ 1.6)
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: 2018-04-30
Author: Klaus K. Holst and Thomas Scheike
Maintainer: Klaus K. Holst <klaus at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mets citation info
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_1.2.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mets_1.2.3.1.tgz, r-oldrel: mets_1.2.3.1.tgz
Old sources: mets archive

Reverse dependencies:

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


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