R: Conduct Univariate and Bivariate Wavelet Analyses

# Conduct Univariate and Bivariate Wavelet Analyses

## Documentation for package ‘biwavelet’ version 0.20.22

- DESCRIPTION file
- Package NEWS

## Help Pages

biwavelet-package | Conduct Univariate and Bivariate Wavelet Analyses
ar1.spectrum | Power spectrum of a random red noise process
ar1_ma0_sim | Slightly faster 'arima.sim' implementation which assumes AR(1) and 'ma=0'.
arrow | Helper function for 'phase.plot' (not exported)
arrow2 | This is an alternative helper function that plots arrows. It uses 'text()' to print a character using a default font. This way, it is possible to render different types of arrows.
biwavelet | Conduct Univariate and Bivariate Wavelet Analyses
check.data | Check the format of time series
check.datum | Helper function
convolve2D | Fast column-wise convolution of a matrix
convolve2D_typeopen | Speed-optimized version of convolve2D
enviro.data | Multivariate ENSO (MEI), NPGO, and PDO indices
get_minroots | Helper function (not exported)
MOTHERS | Supported mother wavelets
phase.plot | Plot phases with arrows
plot.biwavelet | Plot 'biwavelet' objects
pwtc | Compute partial wavelet coherence
rcpp_row_quantile | Row-wise quantile of a matrix
rcpp_wt_bases_dog | Optimized "wt.bases.dog" function.
rcpp_wt_bases_morlet | Optimized "wt.bases.morlet" function.
rcpp_wt_bases_paul | Optimized "wt.bases.paul" function.
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.bases.dog | Helper method (not exported)
wt.bases.morlet | Helper method (not exported)
wt.bases.paul | Helper method (not exported)
wt.sig | Determine significance of wavelet transform
wtc | Compute wavelet coherence
wtc.sig | Determine significance of wavelet coherence
wtc_sig_parallel | Parallel 'wtc.sig'
xwt | Compute cross-wavelet