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: 4.5.8
Depends: methods, utils, bigmemory.sri
Imports: Rcpp
LinkingTo: BH, Rcpp
Suggests: knitr, testthat
Enhances: biganalytics, bigtabulate, synchronicity
Published: 2015-10-20
Author: Michael J. Kane, John W. Emerson, Peter Haverty, and Charles Determan Jr.
Maintainer: Michael J. Kane <bigmemoryauthors at>
Contact: Mike, Jay, and Charles <>
License: LGPL-3 | Apache License 2.0
NeedsCompilation: yes
Citation: bigmemory citation info
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: bigmemory results


Reference manual: bigmemory.pdf
Vignettes: The Bigmemory Project Overview
Package source: bigmemory_4.5.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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_4.5.8.tgz
Old sources: bigmemory archive

Reverse dependencies:

Reverse depends: bigalgebra, biganalytics, bigpca, bigtabulate
Reverse imports: Rdsm, s2dverification
Reverse linking to: bigalgebra, biganalytics, bigtabulate, sgd
Reverse suggests: bio3d, matpow, mlDNA, nat.nblast, NMF, PopGenome, rsgcc, sgd
Reverse enhances: bigmemory.sri