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'))

Peer review:

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:

5.07 score 34 stars 15 scripts 1.5k downloads 3 exports 16 dependencies

Last updated 4 months agofrom:426d6edd43. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:boot2lmesvy2lmesvy2relmer

Dependencies:bootDBIlatticelme4MASSMatrixminqamitoolsnlmenloptrnumDerivRcppRcppArmadilloRcppEigensurveysurvival