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: 4.5.36
Depends: R (≥ 3.2.0)
Imports: methods, Rcpp, utils, bigmemory.sri
LinkingTo: BH, Rcpp
Suggests: testthat
Enhances: biganalytics, bigtabulate
Published: 2019-12-23
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
Package source: bigmemory_4.5.36.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: bigmemory_4.5.36.tgz, r-oldrel: bigmemory_4.5.36.tgz
Old sources: bigmemory archive

Reverse dependencies:

Reverse depends: bigalgebra, biganalytics, bigKRLS, biglasso, bigtabulate, Bios2cor, Rlinsolve, rMVP
Reverse imports: BGData, bigMap, bigstep, CollapsABEL, cooccurNet, dtwclust, kangar00, kofnGA, lmmpar, mbest, misclassGLM, mrMLM.GUI, MXM, overture, Rdsm, s2dverification, slimrec, startR, treeman
Reverse linking to: bigalgebra, biganalytics, bigKRLS, biglasso, bigMap, bigtabulate, Rlinsolve, rMVP, sgd
Reverse suggests: bigstatsr, bio3d, epiGWAS, LinkedMatrix, matpow, mlDNA, nat.nblast, NetRep, NMF, rsgcc, sgd, SuperLearner
Reverse enhances: bigmemory.sri


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