biglmm: Bounded Memory Linear and Generalized Linear Models

Regression for data too large to fit in memory. This package functions exactly like the 'biglm' package, but works with later versions of R.

Version:	0.9-2
Depends:	DBI, methods
Suggests:	RSQLite, RODBC
Enhances:	leaps
Published:	2020-05-26
Author:	Thomas Lumley [aut], Christophe Dutang [ctb], Alan Miller [ctb] (Algorithm AS 274), Morven Gentleman [ctb] (Algorithm AS 75), Mark Purver [cre]
Maintainer:	Mark Purver <mark_purver at hotmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	biglmm results

Documentation:

Reference manual:

biglmm.pdf

Downloads:

Package source:	biglmm_0.9-2.tar.gz
Windows binaries:	r-devel: biglmm_0.9-2.zip, r-release: biglmm_0.9-2.zip, r-oldrel: biglmm_0.9-2.zip
macOS binaries:	r-release (arm64): biglmm_0.9-2.tgz, r-oldrel (arm64): biglmm_0.9-2.tgz, r-release (x86_64): biglmm_0.9-2.tgz, r-oldrel (x86_64): biglmm_0.9-2.tgz
Old sources:	biglmm archive

Reverse dependencies:

Reverse suggests:

broom.helpers, disk.frame

Linking:

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