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CNLTtsa  

Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
View on CRAN: Click here


Download and install CNLTtsa package within the R console
Install from CRAN:
install.packages("CNLTtsa")

Install from Github:
library("remotes")
install_github("cran/CNLTtsa")

Install by package version:
library("remotes")
install_version("CNLTtsa", "0.1-2")



Attach the package and use:
library("CNLTtsa")
Maintained by
Matt Nunes
[Scholar Profile | Author Map]
First Published: 2017-03-08
Latest Update: 2018-07-18
Description:
Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals, see Hamilton et al (2018) .
How to cite:
Matt Nunes (2017). CNLTtsa: Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis. R package version 0.1-2, https://cran.r-project.org/web/packages/CNLTtsa. Accessed 16 May. 2025.
Previous versions and publish date:
0.1 (2017-03-08 08:22)
Other packages that cited CNLTtsa R package
View CNLTtsa citation profile
Other R packages that CNLTtsa depends, imports, suggests or enhances
Complete documentation for CNLTtsa
Functions, R codes and Examples using the CNLTtsa R package
Some associated functions: Baidu . CNLTtsa-package . Google . cnlt.biv . cnlt.spec . cnlt.univ . cnltspec.plot . pre.per . smooth.over.scale . smooth.over.time . 
Some associated R codes: cnlt.biv.R . cnlt.spec.DG.R . cnlt.spec.R . cnlt.spec.SG.R . cnlt.univ.R . cnltspec.plot.R . pre.per.R . pre.per.comb.R . pre.per.sample.R . smooth.over.scale.R . smooth.over.time.R . zzz.R .  Full CNLTtsa package functions and examples
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