coxme: Mixed Effects Cox Models

Fit Cox proportional hazards models containing both fixed and random effects. The random effects can have a general form, of which familial interactions (a "kinship" matrix) is a particular special case. Note that the simplest case of a mixed effects Cox model, i.e. a single random per-group intercept, is also called a "frailty" model. The approach is based on Ripatti and Palmgren, Biometrics 2002.

Version:	2.2-22
Priority:	optional
Depends:	survival (≥ 2.36.14), methods, bdsmatrix (≥ 1.3), R (≥ 2.10)
Imports:	nlme, Matrix (≥ 1.0)
LinkingTo:	bdsmatrix
Suggests:	mvtnorm, kinship2
Published:	2024-08-23
DOI:	10.32614/CRAN.package.coxme
Author:	Terry M. Therneau [aut, cre]
Maintainer:	Terry M. Therneau <therneau.terry at mayo.edu>
License:	LGPL-2
Copyright:	see file COPYRIGHTS
NeedsCompilation:	yes
Materials:	NEWS
In views:	Agriculture, MixedModels, Survival
CRAN checks:	coxme results

Documentation:

Reference manual:	coxme.pdf
Vignettes:	Mixed Effects Cox Models (source, R code) Coxme and the Laplace Approximation (source, R code) The lmekin function (source, R code) Special Variance Structures (source, R code)

Downloads:

Package source:	coxme_2.2-22.tar.gz
Windows binaries:	r-devel: coxme_2.2-22.zip, r-release: coxme_2.2-22.zip, r-oldrel: coxme_2.2-22.zip
macOS binaries:	r-release (arm64): coxme_2.2-22.tgz, r-oldrel (arm64): coxme_2.2-22.tgz, r-release (x86_64): coxme_2.2-22.tgz, r-oldrel (x86_64): coxme_2.2-22.tgz
Old sources:	coxme archive

Reverse dependencies:

Reverse depends:	mlma
Reverse imports:	bigQF, EQUALSTATS, famSKATRC, highMLR, jstable, MAGNAMWAR, mlmm.gwas, multisite.accuracy, PenCoxFrail, spicyR
Reverse suggests:	AICcmodavg, car, finalfit, gap, injurytools, insight, multcomp, parameters, tram, tramME
Reverse enhances:	emmeans, MuMIn

Linking:

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