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-4.5-noble)coxme_2.2-22.tar.gz(r-4.4-noble)
coxme_2.2-22.tgz(r-4.4-emscripten)coxme_2.2-22.tgz(r-4.3-emscripten)
coxme.pdf |coxme.html
coxme/json (API)
NEWS

# Install 'coxme' in R:
install.packages('coxme', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • eortc - Simulated data set based on an EORTC trial

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

8.74 score 2 stars 14 packages 568 scripts 9.6k downloads 296 mentions 12 exports 5 dependencies

Last updated 2 months agofrom:d5eefc09a0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-linux-x86_64OKOct 23 2024

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

Dependencies:bdsmatrixlatticeMatrixnlmesurvival

Coxme and the Laplace Approximation

Rendered fromlaplace.Rnwusingutils::Sweaveon Oct 23 2024.

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

Mixed Effects Cox Models

Rendered fromcoxme.Rnwusingutils::Sweaveon Oct 23 2024.

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

Special Variance Structures

Rendered fromvariance.Rnwusingutils::Sweaveon Oct 23 2024.

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

The lmekin function

Rendered fromlmekin.Rnwusingutils::Sweaveon Oct 23 2024.

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