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]

svylme_1.5-2.tar.gz
svylme_1.5-2.zip(r-4.7)svylme_1.5-2.zip(r-4.6)svylme_1.5-2.zip(r-4.5)
svylme_1.5-2.tgz(r-4.6-any)svylme_1.5-2.tgz(r-4.5-any)
svylme_1.5-2.tar.gz(r-4.7-any)svylme_1.5-2.tar.gz(r-4.6-any)
svylme_1.5-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

5.03 score 35 stars 19 scripts 3.2k downloads 3 exports 20 dependencies

Last updated from:426d6edd43. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK148
linux-release-x86_64OK161
macos-release-arm64OK154
macos-oldrel-arm64OK149
windows-develOK107
windows-releaseOK100
windows-oldrelOK116
wasm-releaseOK138

Exports:boot2lmesvy2lmesvy2relmer

Dependencies:bootDBIlatticelme4MASSMatrixminqamitoolsnlmenloptrnumDerivrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlangsurveysurvival