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coxme  

Mixed Effects Cox Models
View on CRAN: Click here


Download and install coxme package within the R console
Install from CRAN:
install.packages("coxme")

Install from Github:
library("remotes")
install_github("cran/coxme")

Install by package version:
library("remotes")
install_version("coxme", "2.2-22")



Attach the package and use:
library("coxme")
Maintained by
Terry M. Therneau
[Scholar Profile | Author Map]
First Published: 2009-09-20
Latest Update: 2024-03-05
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.
How to cite:
Terry M. Therneau (2009). coxme: Mixed Effects Cox Models. R package version 2.2-22, https://cran.r-project.org/web/packages/coxme. Accessed 10 Apr. 2025.
Previous versions and publish date:
2.0 (2009-09-20 22:07), 2.1-1 (2011-05-15 09:29), 2.1-2 (2011-05-24 07:14), 2.1-3 (2011-06-20 21:30), 2.2-1 (2011-12-30 17:26), 2.2-2 (2012-04-27 22:30), 2.2-3 (2012-05-15 17:35), 2.2-4 (2015-03-03 22:41), 2.2-5 (2015-06-15 17:08), 2.2-7 (2018-01-04 15:50), 2.2-10 (2018-05-13 18:48), 2.2-14 (2019-07-04 07:11), 2.2-16 (2020-01-14 07:10), 2.2-17 (2022-06-03 19:10), 2.2-18.1 (2022-10-03 20:38), 2.2-18 (2022-09-12 18:30), 2.2-19 (2024-03-02 13:22), 2.2-20 (2024-03-05 06:30)
Other packages that cited coxme R package
View coxme citation profile
Other R packages that coxme depends, imports, suggests or enhances
Complete documentation for coxme
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