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-4.5-noble)gllm_0.38.tar.gz(r-4.4-noble)
gllm_0.38.tgz(r-4.4-emscripten)gllm_0.38.tgz(r-4.3-emscripten)
gllm.pdf |gllm.html
gllm/json (API)

# Install 'gllm' in R:
install.packages('gllm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • hildesheim - Invasive Cervical Cancer v exposure to Herpes Simplex Virus
  • lsat - Five dichotomous items from the Law School Admission Test

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

11 exports 0.00 score 0 dependencies 8 scripts 387 downloads

Last updated 2 years agofrom:ebbe5868dd. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-linux-x86_64OKAug 23 2024

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

Dependencies: