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✨
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:

5.14 score 34 stars 19 scripts 4.3k downloads 3 exports 20 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK166
linux-release-x86_64OK152
macos-release-arm64OK132
macos-oldrel-arm64OK134
windows-develOK121
windows-releaseOK161
windows-oldrelOK99
wasm-releaseOK102

Exports:boot2lmesvy2lmesvy2relmer

Dependencies:bootDBIlatticelme4MASSMatrixminqamitoolsnlmenloptrnumDerivrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlangsurveysurvival