Package: bigpca
Type: Package
Title: PCA, Transpose and Multicore Functionality for 'big.matrix'
        Objects
Version: 1.1
Date: 2017-11-17
Author: Nicholas Cooper
Maintainer: Nicholas Cooper <njcooper@gmx.co.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
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: 2017-11-21 21:58:12 UTC; ncooper
Repository: CRAN
Date/Publication: 2017-11-21 23:52:53 UTC
