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 |
| Reference manual: | svylme.pdf |
| 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 suggests: | insight, parameters |
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