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| biwavelet-package | Conduct univariate and bivariate wavelet analyses |
| ar1.spectrum | Power spectrum of a random red noise process |
| biwavelet | Conduct univariate and bivariate wavelet analyses |
| check.data | Check the format of time series |
| convolve2D | Fast column-wise convolution of a matrix |
| enviro.data | Multivariate ENSO (MEI), NPGO, and PDO indices |
| meshgrid | Rectangular grid in two dimensions |
| phase.plot | Plot phases |
| plot.biwavelet | Plot 'biwavelet' objects |
| pwtc | Compute partial wavelet coherence |
| smooth.wavelet | Smooth wavelet in both the time and scale domains |
| wclust | Compute dissimilarity between multiple wavelet spectra |
| wdist | Compute dissimilarity between two wavelet spectra |
| wt | Compute wavelet transform |
| wt.bases | Compute wavelet |
| wt.sig | Determine significance of wavelet transform |
| wtc | Compute wavelet coherence |
| wtc.sig | Determine significance of wavelet coherence |
| xwt | Compute cross-wavelet |