spectral: Common Methods of Spectral Data Analysis

Fourier and Hilbert transforms are utilized to perform several types of spectral analysis on the supplied data. Fragmented and irregularly spaced data can be processed in terms of Lomb-Scargle method. Both, FFT as well as LOMB methods take multivariate data. A user friendly interface helps to interpret the results.

Version: 1.3
Depends: rasterImage, lattice, R (≥ 2.15.0)
Published: 2019-06-03
Author: Martin Seilmayer
Maintainer: Martin Seilmayer <m.seilmayer at hzdr.de>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: spectral results

Downloads:

Reference manual: spectral.pdf
Package source: spectral_1.3.tar.gz
Windows binaries: r-devel: spectral_1.3.zip, r-release: spectral_1.3.zip, r-oldrel: spectral_1.3.zip
OS X binaries: r-release: spectral_1.3.tgz, r-oldrel: spectral_1.3.tgz
Old sources: spectral archive

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