speedglm: Fitting Linear and Generalized Linear Models to Large Data Sets (original) (raw)
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: | |
| CRAN checks: | speedglm results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | adapt4pv, bigstep, DMCFB, drglm, EMJMCMC, EventPointer, exomePeak2, PrInCE |
|---|---|
| Reverse suggests: | broom, btergm, insight, marginaleffects, mediation, parglm, SuperLearner, superMICE |
| Reverse enhances: | fastlogitME, prediction, texreg |
Linking:
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