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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) <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.

README

Examples

pairwise-milk:  milk yields, from pedigreemm. Large gene/environment example with varying group sizes
milk-sampling: subsampling from the milk data
twins-pairwise: bmi of twins, from mets.  Large data set of mostly pairs.
twins-sampling: subsampling from the twins data
svy2lmesim2: simulated data where PSU partially overlaps with model cluster

Versions across snapshots

VersionRepositoryFileSize
1.5-1 rolling linux/jammy R-4.5 svylme_1.5-1.tar.gz 231.3 KiB
1.5-1 rolling linux/noble R-4.5 svylme_1.5-1.tar.gz 231.3 KiB
1.5-1 rolling source/ R- svylme_1.5-1.tar.gz 141.8 KiB
1.5-1 latest linux/jammy R-4.5 svylme_1.5-1.tar.gz 231.3 KiB
1.5-1 latest linux/noble R-4.5 svylme_1.5-1.tar.gz 231.3 KiB
1.5-1 latest source/ R- svylme_1.5-1.tar.gz 141.8 KiB
1.5-1 2026-04-26 source/ R- svylme_1.5-1.tar.gz 141.8 KiB
1.5-1 2026-04-23 source/ R- svylme_1.5-1.tar.gz 141.8 KiB
1.5-1 2026-04-09 windows/windows R-4.5 svylme_1.5-1.zip 236.7 KiB
1.5-1 2025-04-20 source/ R- svylme_1.5-1.tar.gz 141.8 KiB

Dependencies (latest)

Depends

Imports