spectral (1.3)

0 users

Common Methods of Spectral Data Analysis.

http://cran.r-project.org/web/packages/spectral

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.

Maintainer: Martin Seilmayer
Author(s): Martin Seilmayer

License: GPL-2

Uses: lattice, rasterImage

Released 6 months ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of spectral yet. Want to be the first? Write one now.


Related packages: ArDec, Ecdat, TSdbi, boot, brainwaver, chron, depmix, dlm, dse, dyn, dynlm, ensembleBMA, fGarch, fNonlinear, fame, fracdiff, fractal, kza, mAr, mFilter(20 best matches, based on common tags.)


Search for spectral on google, google scholar, r-help, r-devel.

Visit spectral on R Graphical Manual.