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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 |
| DOI: | 10.32614/CRAN.package.speedglm |
| 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, drglm, EMJMCMC, EventPointer, gfoRmulaICE, PrInCE, scDiagnostics |
| Reverse suggests: | broom, btergm, ggeffects, insight, marginaleffects, mediation, parglm, SuperLearner, superMICE |
| Reverse enhances: | fastlogitME, prediction, texreg |
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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.