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 (≥ 3.5), timereg (≥ 1.9.4), lava (≥ 1.6.6)
Imports: mvtnorm, numDeriv, compiler, Rcpp, splines, survival (≥ 2.43-1)
LinkingTo: Rcpp, RcppArmadillo, mvtnorm
Suggests: prodlim, cmprsk, testthat (≥ 0.11), ucminf, knitr, bookdown, rmarkdown, ggplot2, cowplot
Published: 2020-09-28
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Citation: mets citation info
Materials: README NEWS
CRAN checks: mets results


Reference manual: mets.pdf
Vignettes: dUtility data-frame manipulations
Analysis of multivariate binomial data: family analysis
Analysis of bivariate binomial data: Twin analysis
Cumulative Incidence Regression
Discrete Survival Models
Marginal modelling of clustered survival data
Twin models
Recurrent events
Analysis of multivariate survival data
Package source: mets_1.2.8.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mets_1.2.8.1.tgz, r-oldrel: mets_1.2.8.1.tgz
Old sources: mets archive

Reverse dependencies:

Reverse suggests: gap, lava, Publish, riskRegression, timereg


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