Fitting Linear and Generalized Linear Models to Large Data Sets [R package speedglm version 0.3-5]

Marco Enea

speedglm: Fitting Linear and Generalized Linear Models to Large Data Sets

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年05月06日

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:

Reference manual: speedglm.html , speedglm.pdf

Downloads:

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 dependencies:

Reverse imports: adapt4pv, bigstep, DMCFB, drglm, EMJMCMC, EventPointer, GEint, gfoRmulaICE, PrInCE, triplediff

Reverse suggests: broom, btergm, ggeffects, insight, marginaleffects, mediation, parglm, scLANE, SuperLearner

Reverse enhances: fastlogitME, prediction, texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=speedglm to link to this page.