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.
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, multcomp, parameters, tram, tramME Reverse enhances: emmeans, MuMIn Linking:Please use the canonical form https://CRAN.R-project.org/package=coxme to link to this page.
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