Package: glmmML 1.1.7

Göran Broström

glmmML: Generalized Linear Models with Clustering

Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.

Authors:Göran Broström [aut, cre], Jianming Jin [ctb], Henrik Holmberg [ctb]

glmmML_1.1.7.tar.gz
glmmML_1.1.7.tar.gz(r-4.7-arm64)glmmML_1.1.7.tar.gz(r-4.7-x86_64)glmmML_1.1.7.tar.gz(r-4.6-arm64)glmmML_1.1.7.tar.gz(r-4.6-x86_64)
glmmML_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
glmmML/json (API)

# Install 'glmmML' in R:
install.packages('glmmML', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

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

openblas

6.30 score 4 packages 207 scripts 8.1k downloads 60 mentions 9 exports 0 dependencies

Last updated from:f776fc1ecc. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK141
linux-devel-x86_64OK136
source / vignettesOK193
linux-release-arm64OK135
linux-release-x86_64OK113
wasm-releaseOK91

Exports:ghqglmmbootglmmbootFitglmmMLglmmML.fitprint.glmmbootprint.glmmMLsummary.glmmbootsummary.glmmML

Dependencies:

Generalized linear models with clustering

Rendered fromglmmML.Rnwusingutils::Sweaveon Jun 12 2026.

Last update: 2020-05-28
Started: 2020-05-28