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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: biglm results


Reference manual: biglm.pdf


Package source: biglm_0.9-2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): biglm_0.9-2.1.tgz, r-release (x86_64): biglm_0.9-2.1.tgz, r-oldrel: biglm_0.9-2.1.tgz
Old sources: biglm archive

Reverse dependencies:

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


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