coxme: Mixed Effects Cox Models (original) (raw)

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

Documentation:

Downloads:

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

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