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: 1.2.9
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: optimx, prodlim, cmprsk, testthat (≥ 0.11), ucminf, knitr, rmarkdown, ggplot2, cowplot, icenReg
Published: 2021-09-06
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: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://kkholst.github.io/mets/
NeedsCompilation: yes
SystemRequirements: C++11
Citation: mets citation info
Materials: README NEWS
In views: Survival
CRAN checks: mets results

Downloads:

Reference manual: mets.pdf
Vignettes: dUtility data-frame manipulations
Analysis of multivariate binomial data: family analysis
Analysis of bivariate binomial data: Twin analysis
Average treatment effect (ATE) for Competing risks and binary outcomes
Binomial Regression
Cumulative Incidence Regression
Discrete Survival Models
Discrete Interval Censored Survival Models
Marginal modelling of clustered survival data
Twin models
Recurrent events
A practical guide to Human Genetics with Lifetime Data
Analysis of multivariate survival data
Package source: mets_1.2.9.tar.gz
Windows binaries: r-devel: mets_1.2.9.zip, r-devel-UCRT: mets_1.2.9.zip, r-release: mets_1.2.9.zip, r-oldrel: mets_1.2.9.zip
macOS binaries: r-release (arm64): mets_1.2.9.tgz, r-release (x86_64): mets_1.2.9.tgz, r-oldrel: mets_1.2.9.tgz
Old sources: mets archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mets to link to this page.