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:	0.0.3
Depends:	bigmemory
Imports:	Rcpp (≥ 0.12.13), methods
LinkingTo:	Rcpp, RcppEigen, BH, bigmemory
Suggests:	knitr, rmarkdown, glm2
Published:	2022-05-23
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.pdf
Vignettes:	Quick Usage Guide

Downloads:

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

Reverse dependencies:

Reverse imports:	crctStepdown
Reverse suggests:	btergm

Linking:

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