multiplyr: Data Manipulation with Parallelism and Shared Memory Matrices

Provides a new form of data frame backed by shared memory matrices and a way to manipulate them. Upon creation these data frames are shared across multiple local nodes to allow for simple parallel processing.

Version: 0.1.1
Depends: magrittr (≥ 1.5)
Imports: bigmemory (≥ 4.5.19), bigmemory.sri (≥ 0.1.3), parallel, methods
Suggests: testthat, knitr, rmarkdown
Published: 2016-05-31
Author: Jim Blundell [aut, cre, cph]
Maintainer: Jim Blundell <jeblundell at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: multiplyr results


Reference manual: multiplyr.pdf
Vignettes: Multiplyr basics
Package source: multiplyr_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: multiplyr_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: multiplyr_0.1.1.tgz
Old sources: multiplyr archive


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