svycoxme: Mixed-Effects Cox Models for Complex Samples

Mixed-effect proportional hazards models for multistage stratified, cluster-sampled, unequally weighted survey samples. Provides variance estimation by Taylor series linearisation or replicate weights.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	survey, coxme, survival, Rcpp, lme4, Matrix, future, parallelly
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, future.apply, testthat (≥ 3.0.0)
Published:	2025-05-09
Author:	Bradley Drayton [aut, cre, cph]
Maintainer:	Bradley Drayton <brad.drayton at auckland.ac.nz>
BugReports:	https://github.com/bdrayton/svycoxme/issues
License:	GPL (≥ 3)
URL:	https://github.com/bdrayton/svycoxme
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	svycoxme results

Documentation:

Reference manual:	svycoxme.pdf
Vignettes:	svycoxme (source, R code)

Downloads:

Package source:	svycoxme_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): svycoxme_1.0.0.tgz, r-oldrel (arm64): svycoxme_1.0.0.tgz, r-release (x86_64): svycoxme_1.0.0.tgz, r-oldrel (x86_64): svycoxme_1.0.0.tgz

Linking:

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