Package: liftLRD 1.0-9

Matt Nunes

liftLRD: Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series

Implementations of Hurst exponent estimators based on the relationship between wavelet lifting scales and wavelet energy of Knight et al (2017) <doi:10.1007/s11222-016-9698-2>.

Authors:Marina Knight [aut], Guy Nason [ctb], Matt Nunes [aut, cre]

liftLRD_1.0-9.tar.gz
liftLRD_1.0-9.zip(r-4.7-any)liftLRD_1.0-9.zip(r-4.6-any)
liftLRD_1.0-9.tar.gz(r-4.7-any)liftLRD_1.0-9.tar.gz(r-4.6-any)
liftLRD_1.0-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
liftLRD/json (API)

# Install 'liftLRD' in R:
install.packages('liftLRD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 stars 1 packages 290 downloads 10 exports 5 dependencies

Last updated from:d7c237c3bc. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK103
source / vignettesOK164
linux-releaseOK111
windows-develOK49
windows-releaseOK55
wasm-releaseOK118

Exports:artificial.levelsbootciHfrombetaidjliftHurstmad2mean2meanjmeanmomedj

Dependencies:adliftEbayesThreshMASSnltwavethresh