Linear Mixed Models for Complex Survey Data
Overview
Linear mixed models for complex survey data, by pairwise composite likelihood, as described in Lumley & Huang (2023) 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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thomas Lumley <t.lumley@auckland.ac.nz>’ The Description field contains likelihood, as described in Lumley & Huang (2023) <arXiv:2311.13048>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 83%
Downloads
Dependencies
Installing svylme adds 13 packages (8 with compiled code, 16 MB of source tarballs). Heaviest: lme4 4.3 MB, survey 2.3 MB, nloptr 2.1 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.5-1Latest2024-02-06 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-02-06
- Total releases
- 1 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 141 KB / 3 files
- Download size
- 142 KB
Cite
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