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 <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 |