doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.">

fastglm: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen' (original) (raw)

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
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
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:

Downloads:

Reverse dependencies:

Linking:

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