bootSVD: Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data

Implements fast, exact bootstrap Principal Component Analysis and Singular Value Decompositions for high dimensional data, as described in (arxiv.org/abs/1405.0922).

Version: 0.1
Depends: R (≥ 3.0.2)
Imports: parallel
Published: 2014-07-21
Author: Aaron Fisher
Maintainer: Aaron Fisher <fisher at jhu.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: bootSVD results

Downloads:

Reference manual: bootSVD.pdf
Package source: bootSVD_0.1.tar.gz
Windows binaries: r-devel: bootSVD_0.1.zip, r-release: bootSVD_0.1.zip, r-oldrel: bootSVD_0.1.zip
OS X Snow Leopard binaries: r-release: bootSVD_0.1.tgz, r-oldrel: bootSVD_0.1.tgz
OS X Mavericks binaries: r-release: bootSVD_0.1.tgz