Package: svylme 1.5-2

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.

Authors:Thomas Lumley [aut, cre]

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svylme.pdf |svylme.html✨
svylme/json (API)

# Install 'svylme' in R:
install.packages('svylme', repos = c('https://tslumley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tslumley/svylme/issues

Datasets:
  • A_gen - Milk production
  • milk_subset - Milk production
  • nzmaths - Maths Performance Data from the PISA 2012 survey in New Zealand
  • pisa - Data from the PISA international school survey

On CRAN:

Conda-Forge:

4.65 score 34 stars 18 scripts 1.5k downloads 3 exports 19 dependencies

Last updated 8 months agofrom:426d6edd43. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-winOKFeb 23 2025
R-4.5-macOKFeb 23 2025
R-4.5-linuxOKFeb 23 2025
R-4.4-winOKFeb 23 2025
R-4.4-macOKFeb 23 2025
R-4.3-winOKFeb 23 2025
R-4.3-macOKFeb 23 2025

Exports:boot2lmesvy2lmesvy2relmer

Dependencies:bootDBIlatticelme4MASSMatrixminqamitoolsnlmenloptrnumDerivrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulassurveysurvival