The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Fitting linear models and generalized linear models to large data sets by updating algorithms, according to the method described in Enea (2009, ISBN: 9788861294257).
| Version: | 0.3-5 |
| Depends: | Matrix, MASS, biglm |
| Imports: | methods, stats |
| Published: | 2023-05-06 |
| Author: | Marco Enea [aut, cre], Ronen Meiri [ctb] (on behalf of DMWay Analytics LTD), Tomer Kalimi [ctb] (on behalf of DMWay Analytics LTD) |
| Maintainer: | Marco Enea <marco.enea at unipa.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | speedglm results |
| Reference manual: | speedglm.pdf |
| Package source: | speedglm_0.3-5.tar.gz |
| Windows binaries: | r-devel: speedglm_0.3-5.zip, r-release: speedglm_0.3-5.zip, r-oldrel: speedglm_0.3-5.zip |
| macOS binaries: | r-release (arm64): speedglm_0.3-5.tgz, r-oldrel (arm64): speedglm_0.3-5.tgz, r-release (x86_64): speedglm_0.3-5.tgz, r-oldrel (x86_64): speedglm_0.3-5.tgz |
| Reverse imports: | adapt4pv, bigstep, DMCFB, EMJMCMC, EventPointer, PrInCE |
| Reverse suggests: | broom, btergm, insight, marginaleffects, mediation, parglm, SuperLearner, superMICE |
| Reverse enhances: | fastlogitME, texreg |
Please use the canonical form https://CRAN.R-project.org/package=speedglm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.