Package: CliftLRD 0.1-2

Matt Nunes

CliftLRD: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series

Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.

Authors:Matt Nunes [aut, cre], Marina Knight [aut]

CliftLRD_0.1-2.tar.gz
CliftLRD_0.1-2.tar.gz(r-4.7-any)CliftLRD_0.1-2.tar.gz(r-4.6-any)
CliftLRD_0.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CliftLRD/json (API)

# Install 'CliftLRD' in R:
install.packages('CliftLRD', 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.

1.23 score 17 scripts 180 downloads 4 exports 9 dependencies

Last updated from:ecde4d7dcf. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK152
linux-release-x86_64OK110
wasm-releaseOK98

Exports:liftHurstCliftHurstCCmeanCmeanmoC

Dependencies:adliftCNLTregdigestEbayesThreshliftLRDMASSmiscToolsnltwavethresh