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coxme (version 2.2-16)

Mixed Effects Cox Models

Description

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.

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Version

Install

install.packages('coxme')

Monthly Downloads

10,384

Version

2.2-16

License

LGPL-2

Maintainer

Last Published

January 14th, 2020

Functions in coxme (2.2-16)

coxme.object

Coxme regression output object
fixed.effects

Import from package nlme
fixef.lmekin

Extraction functions for Lmekin
expand.nested

Expand nested factors
fixef.coxme

Extraction functions for Coxme
coxme

Fit a mixed effects Cox model
logLik.coxme

The logLik method for coxme objects
coxme.control

Auxillary parameters for controlling coxme fits.
lmekin.object

lmekin object
lmekin

Fit a linear mixed effects model
lmekin.control

Auxillary parameters for controlling lmekin fits.
coxmeFull

Variance family function for coxme fits.
print.coxme

Print method for a coxme fit.
predict.coxme

Predictions for a coxme object.
print.lmekin

Print function for lmekin
ranef

Import from package nlme
eortc

Simulated data set based on an EORTC trial
anova.coxme

Analysis of Deviance for a Cox model.
VarCorr

Import from package nlme
coxmeMlist

Coxme variance function