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

Documentation:

Reference manual:

CNLTtsa.pdf

Downloads:

Package source:	CNLTtsa_0.1-2.tar.gz
Windows binaries:	r-devel: CNLTtsa_0.1-2.zip, r-release: CNLTtsa_0.1-2.zip, r-oldrel: CNLTtsa_0.1-2.zip
macOS binaries:	r-release (arm64): CNLTtsa_0.1-2.tgz, r-oldrel (arm64): CNLTtsa_0.1-2.tgz, r-release (x86_64): CNLTtsa_0.1-2.tgz, r-oldrel (x86_64): CNLTtsa_0.1-2.tgz
Old sources:	CNLTtsa archive

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