Package: gllm 0.38

David Duffy

gllm: Generalised log-Linear Model

Routines for log-linear models of incomplete contingency tables, including some latent class models, via EM and Fisher scoring approaches. Allows bootstrapping. See Espeland and Hui (1987) <doi:10.2307/2531553> for general approach.

Authors:David Duffy <[email protected]>. C code in emgllmfitter by Andreas Borg <[email protected]>

gllm_0.38.tar.gz
gllm_0.38.tar.gz(r-4.7-arm64)gllm_0.38.tar.gz(r-4.7-x86_64)gllm_0.38.tar.gz(r-4.6-arm64)gllm_0.38.tar.gz(r-4.6-x86_64)
gllm_0.38.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gllm/json (API)

# Install 'gllm' in R:
install.packages('gllm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • hildesheim - Invasive Cervical Cancer v exposure to Herpes Simplex Virus
  • lsat - Five dichotomous items from the Law School Admission Test

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 scripts 201 downloads 11 exports 0 dependencies

Last updated from:ebbe5868dd. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK115
linux-devel-x86_64OK103
source / vignettesOK175
linux-release-arm64OK126
linux-release-x86_64OK157
wasm-releaseOK80

Exports:anova.gllmboot.gllmboot.tableemgllmemgllmfittergllmld2ld2.modelscatterscoregllmsummary.gllm

Dependencies: