bigmemory: Manage massive matrices with shared memory and memory-mapped files

Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages biganalytics, bigtabulate, synchronicity, and bigalgebra provide advanced functionality.

Version: 4.4.6
Depends: methods, utils, bigmemory.sri, BH
LinkingTo: BH
Suggests: RUnit
Enhances: biganalytics, bigtabulate, synchronicity
OS_type: unix
Published: 2013-11-18
Author: Michael J. Kane, John W. Emerson, and Peter Haverty
Maintainer: Michael J. Kane <bigmemoryauthors at>
Contact: Mike and Jay <>
License: LGPL-3
Copyright: (C) 2013 John W. Emerson, Michael J. Kane, and Peter Haverty
NeedsCompilation: yes
Citation: bigmemory citation info
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: bigmemory results


Reference manual: bigmemory.pdf
Package source: bigmemory_4.4.6.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: bigmemory_4.4.6.tgz, r-oldrel: bigmemory_4.4.6.tgz
OS X Mavericks binaries: r-release: bigmemory_4.4.6.tgz
Old sources: bigmemory archive

Reverse dependencies:

Reverse depends: bigalgebra, biganalytics, bigpca, bigrf, bigtabulate
Reverse imports: Rdsm
Reverse linking to: bigalgebra, biganalytics, bigrf, bigtabulate
Reverse suggests: bio3d, matpow, mlDNA, nat.nblast, NMF, PopGenome, rsgcc
Reverse enhances: bigmemory.sri