multiplyr (0.1.1)

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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.

Maintainer: Jim Blundell
Author(s): Jim Blundell [aut, cre, cph]

License: GPL-3

Uses: bigmemory, bigmemory.sri, magrittr, testthat, knitr, rmarkdown

Released almost 2 years ago.

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