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 Documentation: Downloads: Reverse dependencies: Reverse imports: adapt4pv, bigstep, DMCFB, drglm, EMJMCMC, EventPointer, gfoRmulaICE, PrInCE, scDiagnostics, tradeoffaucdim, triplediff Reverse suggests: broom, btergm, ggeffects, insight, marginaleffects, mediation, parglm, SuperLearner, superMICE Reverse enhances: fastlogitME, prediction, texreg Linking:Please use the canonical form https://CRAN.R-project.org/package=speedglm to link to this page.
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