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liftLRD  

Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("liftLRD", "1.0-9")



Attach the package and use:
library("liftLRD")
Maintained by
Matt Nunes
[Scholar Profile | Author Map]
First Published: 2016-09-07
Latest Update: 2023-09-17
Description:
Implementations of Hurst exponent estimators based on the relationship between wavelet lifting scales and wavelet energy of Knight et al (2017) .
How to cite:
Matt Nunes (2016). liftLRD: Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series. R package version 1.0-9, https://cran.r-project.org/web/packages/liftLRD. Accessed 14 May. 2025.
Previous versions and publish date:
1.0-5 (2016-09-07 14:41), 1.0-6 (2017-09-11 22:15), 1.0-7 (2018-05-22 13:03), 1.0-8 (2018-07-18 14:40)
Other packages that cited liftLRD R package
View liftLRD citation profile
Other R packages that liftLRD depends, imports, suggests or enhances
Complete documentation for liftLRD
Functions, R codes and Examples using the liftLRD R package
Some associated functions: Hfrombeta . artificial.levels . bootci . idj . liftHurst . liftLRD-package . 
Some associated R codes: Hfrombeta.R . artificial.levels.R . bootci.R . idj.R . liftHurst.R . mad2.R . mean2.R . meanj.R . meanmo.R . medj.R . zzz.R .  Full liftLRD package functions and examples
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