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:	1.3.4
Depends:	R (≥ 3.5), timereg (≥ 1.9.4)
Imports:	lava (≥ 1.7.1), 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:	2024-02-16
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:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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.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 Two-Stage Randomization for for Competing risks and Survival outcomes Binomial Regression for Survival and Competing Risks Data Cumulative Incidence Regression GEE cluster standard errors and predictions for glm objects Haplotype Discrete Survival Models Discrete Interval Censored Survival Models Marginal modelling of clustered survival data Mediation Analysis for survival data Twin models Recurrent events Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks Average treatment effect (ATE) based on the Cox and Fine-Gray model A practical guide to Human Genetics with Lifetime Data Analysis of multivariate survival data

Downloads:

Package source:	mets_1.3.4.tar.gz
Windows binaries:	r-devel: mets_1.3.4.zip, r-release: mets_1.3.4.zip, r-oldrel: mets_1.3.4.zip
macOS binaries:	r-release (arm64): mets_1.3.4.tgz, r-oldrel (arm64): mets_1.3.4.tgz, r-release (x86_64): mets_1.3.4.tgz, r-oldrel (x86_64): mets_1.3.4.tgz
Old sources:	mets archive

Reverse dependencies:

Reverse imports:	recforest, riskRegression, targeted
Reverse suggests:	lava, mmcif, timereg

Linking:

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