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
Authors@R: person(c("Terry", "M."), "Therneau", role=c("aut", "cre"),
	          email="therneau@mayo.edu")
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 <therneau@mayo.edu>
Repository: CRAN
Date/Publication: 2020-01-14 06:10:14 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:05:41 UTC; windows
Archs: i386, x64
