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, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.

Version: 0.1-2
Depends: R (≥ 3.1), adlift, nlt, CNLTreg, fields
Published: 2018-07-18
Author: Jean Hamilton [aut], Matt Nunes [aut, cre], Marina Knight [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <nunesrpackages at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: CNLTtsa results

Downloads:

Reference manual: CNLTtsa.pdf
Package source: CNLTtsa_0.1-2.tar.gz
Windows binaries: r-devel: CNLTtsa_0.1-2.zip, r-devel-gcc8: CNLTtsa_0.1-2.zip, r-release: CNLTtsa_0.1-2.zip, r-oldrel: CNLTtsa_0.1-2.zip
OS X binaries: r-release: CNLTtsa_0.1-2.tgz, r-oldrel: CNLTtsa_0.1-2.tgz
Old sources: CNLTtsa archive

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