Package: coxme 2.2-22

Terry M. Therneau

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.

Authors:Terry M. Therneau [aut, cre]

coxme_2.2-22.tar.gz
coxme_2.2-22.tar.gz(r-4.7-arm64)coxme_2.2-22.tar.gz(r-4.7-x86_64)coxme_2.2-22.tar.gz(r-4.6-arm64)coxme_2.2-22.tar.gz(r-4.6-x86_64)
coxme_2.2-22.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
coxme/json (API)

# Install 'coxme' in R:
install.packages('coxme', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • eortc - Simulated data set based on an EORTC trial

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8.58 score 2 stars 13 packages 750 scripts 16k downloads 296 mentions 12 exports 5 dependencies

Last updated from:d5eefc09a0. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK228
linux-devel-x86_64OK178
source / vignettesOK190
linux-release-arm64OK175
linux-release-x86_64OK176
wasm-releaseOK299

Exports:coxmecoxme.controlcoxmeFullcoxmeMlistexpand.nestedfixed.effectsfixeflmekinlmekin.controlrandom.effectsranefVarCorr

Dependencies:bdsmatrixlatticeMatrixnlmesurvival

Special Variance Structures

Last update: 2024-03-03
Started: 2011-12-27

The lmekin function

Last update: 2024-03-03
Started: 2011-12-27

Coxme and the Laplace Approximation

Last update: 2019-07-04
Started: 2011-12-27

Mixed Effects Cox Models

Last update: 2019-07-04
Started: 2011-12-27