R.huge: Methods for Accessing Huge Amounts of Data [deprecated]

DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.)

Version: 0.9.0
Depends: R (≥ 2.10.0)
Imports: R.methodsS3 (≥ 1.7.0), R.oo (≥ 1.18.0), R.utils (≥ 1.34.0)
Published: 2015-02-22
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/R.huge/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://github.com/HenrikBengtsson/R.huge
NeedsCompilation: no
Materials: NEWS
CRAN checks: R.huge results

Downloads:

Reference manual: R.huge.pdf
Package source: R.huge_0.9.0.tar.gz
Windows binaries: r-devel: R.huge_0.9.0.zip, r-release: R.huge_0.9.0.zip, r-oldrel: R.huge_0.9.0.zip
macOS binaries: r-release: R.huge_0.9.0.tgz, r-oldrel: R.huge_0.9.0.tgz
Old sources: R.huge archive

Reverse dependencies:

Reverse imports: aroma.apd

Linking:

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