Package: bigpca
Type: Package
Title: PCA, transpose and multicore functionality for big.matrix
        objects
Version: 1.0
Date: 2014-03-02
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, BH, irlba
OS_type: unix
Description: This package 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'
Packaged: 2014-03-04 14:10:33 UTC; ncooper
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-04 15:37:28
