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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- 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