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fastglm: Fast and Stable Fitting of Generalized Linear Models using'RcppEigen'

Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.

Version:0.0.4
Depends:bigmemory
Imports:Rcpp (≥ 0.12.13), methods
LinkingTo:Rcpp,RcppEigen,BH,bigmemory
Suggests:knitr,rmarkdown,glm2
Published:2025-12-16
DOI:10.32614/CRAN.package.fastglm
Author:Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph]
Maintainer:Jared Huling <jaredhuling at gmail.com>
BugReports:https://github.com/jaredhuling/fastglm/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Materials:README
CRAN checks:fastglm results

Documentation:

Reference manual:fastglm.html ,fastglm.pdf
Vignettes:Quick Usage Guide (source,R code)

Downloads:

Package source: fastglm_0.0.4.tar.gz
Windows binaries: r-devel:fastglm_0.0.4.zip, r-release:fastglm_0.0.3.zip, r-oldrel:fastglm_0.0.4.zip
macOS binaries: r-release (arm64):fastglm_0.0.4.tgz, r-oldrel (arm64):fastglm_0.0.4.tgz, r-release (x86_64):fastglm_0.0.4.tgz, r-oldrel (x86_64):fastglm_0.0.4.tgz
Old sources: fastglm archive

Reverse dependencies:

Reverse imports:crctStepdown,ddecompose,did,DRDID,FBMS,GWASinlps,HTRX,SEQTaRget,simstudy,swaglm
Reverse linking to:crctStepdown,simstudy
Reverse suggests:btergm,familiar

Linking:

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


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