CNLTtsa: Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis

Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals.

Version: 0.1
Depends: R (≥ 2.10), adlift, nlt, CNLTreg, fields
Published: 2017-03-08
Author: Jean Hamilton [aut], Matt Nunes [aut, cre], Marina Knight [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <m.nunes at lancaster.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: CNLTtsa results

Downloads:

Reference manual: CNLTtsa.pdf
Package source: CNLTtsa_0.1.tar.gz
Windows binaries: r-devel: CNLTtsa_0.1.zip, r-release: CNLTtsa_0.1.zip, r-oldrel: CNLTtsa_0.1.zip
OS X El Capitan binaries: r-release: CNLTtsa_0.1.tgz
OS X Mavericks binaries: r-oldrel: CNLTtsa_0.1.tgz

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