biglm: Bounded Memory Linear and Generalized Linear Models

Regression for data too large to fit in memory.

Version: 0.9-2.1
Depends: DBI, methods
Suggests: RSQLite, RODBC
Enhances: leaps
Published: 2020-11-27
Author: Thomas Lumley
Maintainer: Thomas Lumley <tlumley at u.washington.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README NEWS
In views: HighPerformanceComputing, SocialSciences
CRAN checks: biglm results

Downloads:

Reference manual: biglm.pdf
Package source: biglm_0.9-2.1.tar.gz
Windows binaries: r-devel: biglm_0.9-2.1.zip, r-release: biglm_0.9-2.1.zip, r-oldrel: biglm_0.9-2.1.zip
macOS binaries: r-release: biglm_0.9-2.1.tgz, r-oldrel: biglm_0.9-2.1.tgz
Old sources: biglm archive

Reverse dependencies:

Reverse depends: allan, biganalytics, matter, rMR
Reverse imports: cplm, GGtools, Maaslin2
Reverse suggests: broom, DeclareDesign, disk.frame, dynamichazard, emmeans, ff, ffbase, insight, ipumsr, leaps, optmatch
Reverse enhances: prediction, texreg

Linking:

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