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.

Package details

AuthorTerry M. Therneau [aut, cre]
MaintainerTerry M. Therneau <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the coxme package in your browser

Any scripts or data that you put into this service are public.

coxme documentation built on March 26, 2020, 7:50 p.m.