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
Author: Thomas Lumley [aut, cre]
Maintainer: Thomas Lumley <t.lumley at auckland.ac.nz>
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Materials: README
CRAN checks: svylme results

Documentation:

Reference manual: svylme.pdf

Downloads:

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

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