The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 gmail.com>
License: GPL-2
NeedsCompilation: no
In views: TimeSeries
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CNLTtsa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.