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>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Version:	1.3.9
Depends:	R (≥ 3.5)
Imports:	Rcpp, RcppArmadillo, lava (≥ 1.8.2), methods, mvtnorm, numDeriv, splines, survival (≥ 2.43-1), timereg (≥ 1.9.4)
LinkingTo:	Rcpp, RcppArmadillo, mvtnorm
Suggests:	cmprsk, icenReg, KernSmooth, knitr, optimx, prodlim, riskRegression, rmarkdown, tinytest (≥ 1.4.1), ucminf
Published:	2026-01-11
DOI:	10.32614/CRAN.package.mets
Author:	Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer:	Klaus K. Holst <klaus at holst.it>
BugReports:	https://github.com/kkholst/mets/issues
License:	Apache License (== 2.0)
URL:	https://kkholst.github.io/mets/
NeedsCompilation:	yes
Citation:	mets citation info
Materials:	README, NEWS
In views:	Survival
CRAN checks:	mets results

Documentation:

Reference manual:

mets.html , mets.pdf

Vignettes:

dUtility data-frame manipulations (source, R code) Analysis of multivariate binomial data: family analysis (source, R code) Analysis of bivariate binomial data: Twin analysis (source, R code) Average treatment effect (ATE) for Competing risks and binary outcomes (source, R code) Two-Stage Randomization for for Competing risks and Survival outcomes (source, R code) Binomial Regression for Survival and Competing Risks Data (source, R code) Cumulative Incidence Regression (source, R code) Cooking survival data, 5 minutes recipes (source, R code) IPCW Cumulative Cost (source, R code) GEE cluster standard errors and predictions for glm objects (source, R code) Haplotype Discrete Survival Models (source, R code) Discrete Interval Censored Survival Models (source, R code) Marginal modelling of clustered survival data (source, R code) Mediation Analysis for survival data (source, R code) Randomization for Cox Type rate models (source, R code) Twin models (source, R code) Recurrent events (source, R code) Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks (source, R code) Average treatment effect (ATE) based on the Cox and Fine-Gray model (source, R code) A practical guide to Human Genetics with Lifetime Data (source, R code) Analysis of multivariate survival data (source, R code) While Alive estimands for Recurrent Events (source, R code)

Downloads:

Package source:	mets_1.3.9.tar.gz
Windows binaries:	r-devel: mets_1.3.9.zip, r-release: mets_1.3.9.zip, r-oldrel: mets_1.3.9.zip
macOS binaries:	r-release (arm64): mets_1.3.9.tgz, r-oldrel (arm64): mets_1.3.9.tgz, r-release (x86_64): mets_1.3.9.tgz, r-oldrel (x86_64): mets_1.3.9.tgz
Old sources:	mets archive

Reverse dependencies:

Reverse imports:	recforest, riskRegression, targeted
Reverse suggests:	carts, cifmodeling, lava, polle, timereg

Linking:

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