svylme: Linear Mixed Models for Complex Survey Data

Linear mixed models for complex survey data, by pairwise composite likelihood, as described in Lumley & Huang (2023) <doi:10.48550/arXiv.2311.13048>. Supports nested and crossed random effects, and correlated random effects as in genetic models. Allows for multistage sampling and for other designs where pairwise sampling probabilities are specified or can be calculated.

Version: 1.5-1
Depends: survey, R (≥ 3.5.0)
Imports: minqa, Matrix, lme4, methods, utils, stats
Published: 2024-02-06
DOI: 10.32614/CRAN.package.svylme
Author: Thomas Lumley [aut, cre]
Maintainer: Thomas Lumley <t.lumley at>
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Materials: README
CRAN checks: svylme results


Reference manual: svylme.pdf


Package source: svylme_1.5-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): svylme_1.5-1.tgz, r-oldrel (arm64): svylme_1.5-1.tgz, r-release (x86_64): svylme_1.5-1.tgz, r-oldrel (x86_64): svylme_1.5-1.tgz

Reverse dependencies:

Reverse suggests: insight, parameters


Please use the canonical form to link to this page.