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 18 scripts 1.3k downloads 3 exports 19 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-winOKJan 24 2025
R-4.5-linuxOKJan 24 2025
R-4.4-winOKJan 24 2025
R-4.4-macOKJan 24 2025
R-4.3-winOKJan 24 2025
R-4.3-macOKJan 24 2025

Exports:boot2lmesvy2lmesvy2relmer

Dependencies:bootDBIlatticelme4MASSMatrixminqamitoolsnlmenloptrnumDerivrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulassurveysurvival