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.

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Description file content

Title
Mixed Effects Cox Models
Priority
optional
Package
coxme
Version
2.2-16
Depends
survival (>= 2.36.14), methods, bdsmatrix(>= 1.3), R(>= 2.10)
Imports
nlme, Matrix (>= 1.0)
Suggests
mvtnorm, kinship2
LinkingTo
bdsmatrix
LazyData
Yes
LazyLoad
Yes
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.
License
LGPL-2
NeedsCompilation
yes
Packaged
2020-01-13 20:20:59 UTC; therneau
Author
Terry M. Therneau [aut, cre]
Maintainer
Terry M. Therneau
Repository
CRAN
Date/Publication
2020-01-14 06:10:14 UTC

install.packages('coxme')

2.2-16

10 days ago

Terry M. Therneau

LGPL-2

Depends on

survival (>= 2.36.14), methods, bdsmatrix(>= 1.3), R(>= 2.10)

Imports

nlme, Matrix (>= 1.0)

Suggests

mvtnorm, kinship2

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