Conduct Univariate and Bivariate Wavelet Analyses
Optimized "wt.bases.paul" function.
Optimized "wt.bases.morlet" function.
Slightly faster arima.sim implementation which assumes AR(1) and `ma...
Power spectrum of a random red noise process
Helper function for phase.plot (not exported)
This is an alternative helper function that plots arrows. It uses `tex...
Conduct Univariate and Bivariate Wavelet Analyses
Check the format of time series
Helper function
Speed-optimized version of convolve2D
Fast column-wise convolution of a matrix
Helper function (not exported)
Supported mother wavelets
Plot phases with arrows
Plot biwavelet objects
Compute partial wavelet coherence
Row-wise quantile of a matrix
Optimized "wt.bases.dog" function.
Smooth wavelet in both the time and scale domains
Compute dissimilarity between multiple wavelet spectra
Compute dissimilarity between two wavelet spectra
Helper method (not exported)
Helper method (not exported)
Helper method (not exported)
Compute wavelet
Compute wavelet transform
Determine significance of wavelet transform
Parallel wtc.sig
Compute wavelet coherence
Determine significance of wavelet coherence
Compute cross-wavelet
This is a port of the WTC MATLAB package written by Aslak Grinsted and the wavelet program written by Christopher Torrence and Gibert P. Compo. This package can be used to perform univariate and bivariate (cross-wavelet, wavelet coherence, wavelet clustering) analyses.