bigpca : PCA, Transpose and Multicore Functionality for 'big.matrix' Objects

Package: bigpca
Type: Package
Title: PCA, Transpose and Multicore Functionality for 'big.matrix'
Objects
Version: 1.0.3
Date: 2015-11-07
Author: Nicholas Cooper
Maintainer: Nicholas Cooper <nick.cooper@cimr.cam.ac.uk>
Depends: R (>= 3.0), grDevices, graphics, stats, utils, reader (>=
1.0.1), NCmisc (>= 1.1), bigmemory (>= 4.0.0), biganalytics
Imports: parallel, methods, bigmemory.sri, irlba
OS_type: unix
Description: Adds wrappers to add functionality for big.matrix objects (see the bigmemory project).
This allows fast scalable principle components analysis (PCA), or singular value decomposition (SVD).
There are also functions for transposing, using multicore 'apply' functionality, data importing
and for compact display of big.matrix objects. Most functions also work for standard matrices if
RAM is sufficient.
License: GPL (>= 2)
Collate: 'bigpca.R'
NeedsCompilation: no
Packaged: 2015-11-07 18:49:10 UTC; ncooper
Repository: CRAN
Date/Publication: 2015-11-08 08:40:28