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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 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-devel: svylme_1.5-1.zip, r-release: svylme_1.5-1.zip, r-oldrel: svylme_1.5-1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=svylme to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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