| 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 |