Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series [R package CliftLRD version 0.1-1]

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>.

Version:	0.1-1
Depends:	CNLTreg, liftLRD
Suggests:	fracdiff
Published:	2018-07-18
Author:	Matt Nunes [aut, cre], Marina Knight [aut]
Maintainer:	Matt Nunes <nunesrpackages at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	CliftLRD results

Documentation:

Reference manual:

CliftLRD.pdf

Downloads:

Package source:	CliftLRD_0.1-1.tar.gz
Windows binaries:	r-devel: CliftLRD_0.1-1.zip, r-release: CliftLRD_0.1-1.zip, r-oldrel: CliftLRD_0.1-1.zip
macOS binaries:	r-release (arm64): CliftLRD_0.1-1.tgz, r-oldrel (arm64): CliftLRD_0.1-1.tgz, r-release (x86_64): CliftLRD_0.1-1.tgz, r-oldrel (x86_64): CliftLRD_0.1-1.tgz

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