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irls: Generalised Linear Models via Iteratively Reweighted LeastSquares

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.

Version:1.0
Depends:R (≥ 4.2)
Imports:Rcpp (≥ 1.0.13)
LinkingTo:Rcpp (≥ 1.0.13),RcppEigen
Suggests:Rfast,Rfast2
Published:2025-12-11
DOI:10.32614/CRAN.package.irls
Author:Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer:Michail Tsagris <mtsagris at uoc.gr>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:irls results

Documentation:

Reference manual:irls.html ,irls.pdf

Downloads:

Package source: irls_1.0.tar.gz
Windows binaries: r-devel:irls_1.0.zip, r-release:irls_1.0.zip, r-oldrel:irls_1.0.zip
macOS binaries: r-release (arm64):irls_1.0.tgz, r-oldrel (arm64):irls_1.0.tgz, r-release (x86_64):irls_1.0.tgz, r-oldrel (x86_64):irls_1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=irlsto link to this page.


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