Getting started | How it works | Inspecting the output | Analysis of deviance with anova | Sequential deviance: single model | Model comparison: multiple models | Code to generate the example data
Package: glm4 0.1.0
Angus Hughes
glm4: Fitting Generalized Linear Models Using Sparse Matrices
Fits Generalised Linear Models (GLMs) with sparse and dense 'Matrix' matrices for memory efficiency. Acts as a wrapper for the glm4() function in the 'MatrixModels' package <doi:10.32614/CRAN.package.MatrixModels>, but adds convenient model methods and functions designed to mimic those associated with the glm() function from the 'stats' package.
Authors:
glm4_0.1.0.tar.gz
glm4_0.1.0.zip(r-4.7-any)glm4_0.1.0.zip(r-4.6-any)glm4_0.1.0.zip(r-4.5-any)
glm4_0.1.0.tgz(r-4.6-any)glm4_0.1.0.tgz(r-4.5-any)
glm4_0.1.0.tar.gz(r-4.7-any)glm4_0.1.0.tar.gz(r-4.6-any)
glm4_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glm4/json (API)
| # Install 'glm4' in R: |
| install.packages('glm4', repos = c('https://awhug.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/awhug/glm4/issues
Last updated from:1a44c8e141. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 351 | ||
| linux-release | OK | 98 | ||
| macos-release | OK | 117 | ||
| macos-oldrel | OK | 155 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 71 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 85 |
Exports:glm4
Dependencies:latticeMatrixMatrixModels
