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: | 0.0.1 |
| Imports: | Rcpp (≥ 0.12.13) |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown, glm2 |
| Published: | 2019-03-08 |
| 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 |
| Reference manual: | fastglm.pdf |
| Vignettes: |
Vignette Title |
| Package source: | fastglm_0.0.1.tar.gz |
| Windows binaries: | r-devel: fastglm_0.0.1.zip, r-release: fastglm_0.0.1.zip, r-oldrel: fastglm_0.0.1.zip |
| macOS binaries: | r-release: fastglm_0.0.1.tgz, r-oldrel: fastglm_0.0.1.tgz |
| Reverse suggests: | btergm |
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