Fitting linear models and generalized linear models to large data sets by updating algorithms.
| Version: | 0.3-2 |
| Depends: | Matrix, MASS |
| Imports: | methods, stats |
| Published: | 2017-01-09 |
| 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 <emarco76 at libero.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | HighPerformanceComputing |
| CRAN checks: | speedglm results |
| Reference manual: | speedglm.pdf |
| Package source: | speedglm_0.3-2.tar.gz |
| Windows binaries: | r-devel: speedglm_0.3-2.zip, r-release: speedglm_0.3-2.zip, r-oldrel: speedglm_0.3-2.zip |
| OS X binaries: | r-release: speedglm_0.3-2.tgz, r-oldrel: speedglm_0.3-2.tgz |
| Old sources: | speedglm archive |
| Reverse depends: | GWASinlps, ProbitSpatial |
| Reverse imports: | bigstep, btergm, coloc, egoTERGM, equSA, GEint, hit, LogisticDx, ltmle, survtmle |
| Reverse suggests: | broom, dynamichazard, fbRanks, SuperLearner |
| Reverse enhances: | prediction |
Please use the canonical form https://CRAN.R-project.org/package=speedglm to link to this page.