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
DOI: 10.32614/CRAN.package.CNLTtsa
Author: Jean Hamilton [aut], Matt Nunes [aut, cre], Marina Knight [ctb], Piotr Fryzlewicz [ctb]
Maintainer: Matt Nunes <nunesrpackages at>
License: GPL-2
NeedsCompilation: no
In views: TimeSeries
CRAN checks: CNLTtsa results


Reference manual: CNLTtsa.pdf


Package source: CNLTtsa_0.1-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.