Package: irls 1.0
Michail Tsagris
irls: Generalised Linear Models via Iteratively Reweighted Least Squares
Generalised linear models via the iteratively reweighted least squares algorithm. The functions perform logistic, Poisson and Gamma regression (ISBN:9780412317606), either for a single model or many regression models in a column-wise fashion.
Authors:
irls_1.0.tar.gz
irls_1.0.tar.gz(r-4.7-arm64)irls_1.0.tar.gz(r-4.7-x86_64)irls_1.0.tar.gz(r-4.6-arm64)irls_1.0.tar.gz(r-4.6-x86_64)
irls_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
irls/json (API)
| # Install 'irls' in R: |
| install.packages('irls', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fec309fb2d. Checks:6 OK. Indexed: yes.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generalised Linear Models via Iteratively Reweighted Least Squares | irls-package |
| Column-wise GLMs with IRLS | col.irls |
| GLMs with IRLS | irls |