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).

Version: 1.2.5
Depends: R (≥ 3.3), timereg (≥ 1.9.2), lava (≥ 1.6.3)
Imports: numDeriv, compiler, Rcpp, splines, survival (≥ 2.43-1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: prodlim, testthat (≥ 0.11), ucminf, R.rsp (≥ 0.40)
Published: 2018-11-20
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
Analysis of multivariate competing riks data
Marginal Cox
Twin analysis of quantitative outcomes
Recurrent Events
Analysis of multivariate survival data based on Case Control Data
Analysis of multivariate survival data
Package source: mets_1.2.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mets_1.2.5.tgz, r-oldrel: mets_1.2.5.tgz
Old sources: mets archive

Reverse dependencies:

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


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