corr2D: Implementation of 2D Correlation Analysis in R

Implementation of two-dimensional (2D) correlation analysis based on the Fourier-transformation approach described by Isao Noda (I. Noda (1993) <doi:10.1366/0003702934067694>). Additionally there are two plot functions for the resulting correlation matrix: The first one creates colored 2D plots, while the second one generates 3D plots.

Version: 0.1.12
Imports: doParallel (≥ 1.0.8), foreach (≥ 1.4.3), parallel (≥ 3.0.2), fields (≥ 8.2-1), mmand (≥ 1.3.0), rgl (≥ 0.93.996-1), stats (≥ 3.0.2), grDevices (≥ 3.0.2), graphics (≥ 3.0.2), utils (≥ 3.0.2), colorspace (≥ 1.3-0)
Suggests: knitr, rmarkdown
Published: 2016-11-28
Author: Robert Geitner [cre, aut], Robby Fritzsch [aut], Thomas Bocklitz [aut], Juergen Popp [ctb, cph]
Maintainer: Robert Geitner <robert.geitner at uni-jena.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: corr2D results

Downloads:

Reference manual: corr2D.pdf
Vignettes: Implementation of 2D Correlation Analysis
Package source: corr2D_0.1.12.tar.gz
Windows binaries: r-devel: corr2D_0.1.12.zip, r-release: corr2D_0.1.12.zip, r-oldrel: corr2D_0.1.12.zip
OS X El Capitan binaries: r-release: corr2D_0.1.12.tgz
OS X Mavericks binaries: r-oldrel: corr2D_0.1.12.tgz
Old sources: corr2D archive

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