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

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

## Documentation for package ‘liftLRD’ version 1.0-9

- DESCRIPTION file

## Help Pages

liftLRD-package | Wavelet lifting estimators of the Hurst exponent for regularly and irregularly sampled time series
artificial.levels | artificial.levels
bootci | bootstrap confidence interval calculation
Hfrombeta | Compute Hurst exponent from wavelet scale - energy regression slope
idj | Functions to perform summary calculations of wavelet scales and energies.
liftHurst | Performs (non-decimated) lifting based estimation of the Hurst exponent
liftLRD | Wavelet lifting estimators of the Hurst exponent for regularly and irregularly sampled time series
mad2 | Functions to perform summary calculations of wavelet scales and energies.
mean2 | Functions to perform summary calculations of wavelet scales and energies.
meanj | Functions to perform summary calculations of wavelet scales and energies.
meanmo | Functions to perform summary calculations of wavelet scales and energies.
medj | Functions to perform summary calculations of wavelet scales and energies.