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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 fileCOPYRIGHTS
NeedsCompilation:yes
Materials:NEWS
In views:Agriculture,MixedModels,Survival
CRAN checks:coxme results

Documentation:

Reference manual:coxme.html ,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,svycoxme
Reverse suggests:AICcmodavg,car,finalfit,gap,injurytools,insight,modelbased,multcomp,parameters,tram,tramME
Reverse enhances:emmeans,MuMIn

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=coxmeto link to this page.


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