GPCSIV: GPCSIV, Generalized Principal Component of Symbolic Interval variables

This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables.

Version: 0.1.0
Depends: scatterplot3d, sqldf
Published: 2013-09-15
Author: Brahim Brahim and Sun Makosso-Kallyth
Maintainer: Brahim Brahim <brahim.brahim at bigdatavisualizations.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GPCSIV results

Downloads:

Reference manual: GPCSIV.pdf
Package source: GPCSIV_0.1.0.tar.gz
Windows binaries: r-devel: GPCSIV_0.1.0.zip, r-release: GPCSIV_0.1.0.zip, r-oldrel: GPCSIV_0.1.0.zip
OS X Snow Leopard binaries: r-release: GPCSIV_0.1.0.tgz, r-oldrel: GPCSIV_0.1.0.tgz
OS X Mavericks binaries: r-release: GPCSIV_0.1.0.tgz