R: Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis

# Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis

## Documentation for package ‘CNLTtsa’ version 0.1-2

- DESCRIPTION file

## Help Pages

CNLTtsa-package | Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
Baidu | End of second returns for Google from 1st March 2011
cnlt.biv | Performs 'nondecimated' complex-valued wavelet lifting for bivariate time series analysis
cnlt.spec | A function to compute CNLT spectral quantities for univariate and bivariate series
cnlt.spec.DG | A function to compute CNLT spectral quantities for univariate and bivariate series
cnlt.spec.SG | A function to compute CNLT spectral quantities for univariate and bivariate series
cnlt.univ | Performs 'nondecimated' complex-valued wavelet lifting for univariate time series analysis
cnltspec.plot | A function to plot CNLT spectral quantities of interest
CNLTtsa | Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
Google | End of second returns for Google from 1st March 2011
pre.per | Functions to form periodogram objects with a common time and scale bins for bivariate series with different sampling grids for each component
pre.per.comb | Functions to form periodogram objects with a common time and scale bins for bivariate series with different sampling grids for each component
pre.per.sample | Functions to form periodogram objects with a common time and scale bins for bivariate series with different sampling grids for each component
smooth.over.scale | Function to perform smoothing over scale of spectral quantities
smooth.over.time | Function to perform smoothing over time of spectral quantities