spectral: Common Methods of Spectral Data Analysis

Fourier and Hilbert transforms are utilized to perform several types of spectral analysis on the supplied data. Also fragmented and irregularly spaced data can be processed. A user friendly interface helps to interpret the results.

Version: 1.0.1
Depends: rasterImage, R (≥ 2.15.0)
Imports: Rcpp
LinkingTo: Rcpp
Published: 2016-09-15
Author: Martin Seilmayer
Maintainer: Martin Seilmayer <m.seilmayer at hzdr.de>
License: GPL-2
NeedsCompilation: yes
In views: TimeSeries
CRAN checks: spectral results

Downloads:

Reference manual: spectral.pdf
Package source: spectral_1.0.1.tar.gz
Windows binaries: r-devel: spectral_1.0.1.zip, r-release: spectral_1.0.1.zip, r-oldrel: spectral_1.0.1.zip
OS X El Capitan binaries: r-release: spectral_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: spectral_1.0.1.tgz
Old sources: spectral archive

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