# Wavelet System Prediction

## Documentation for package ‘WASP’ version 1.4.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

WASP-package | WASP: WAvelet System Prediction
at.vt | Variance Transformation Operation - AT(a trous)
at.vt.val | Variance Transformation Operation for Validation
at.wd | a trous (AT) based additive decompostion using Daubechies family wavelet
aus.coast | Sample data: Australia map
data.AWAP.2.5 | Sample data: AWAP rainfall data over Australia
data.CI | Sample data: Climate indices strongly influencing Australia climate
data.gen.ar1 | Generate predictor and response data from AR1 model.
data.gen.ar4 | Generate predictor and response data from AR4 model.
data.gen.ar9 | Generate predictor and response data from AR9 model.
data.gen.HL | Generate predictor and response data: Hysteresis Loop
data.gen.Rossler | Generate predictor and response data: Rossler system
data.gen.SW | Generate predictor and response data: Sinewave model
data.gen.tar1 | Generate predictor and response data from TAR1 model.
data.gen.tar2 | Generate predictor and response data from TAR2 model.
data.HL | Sample data: Hysteresis loop
data.SW1 | Sample data: Sinewave model 1 (SW1)
data.SW3 | Sample data: Sinewave model 3 (SW3)
dwt.vt | Variance Transformation Operation - MRA
dwt.vt.val | Variance Transformation Operation for Validation
fig.dwt.vt | Plot function: Variance structure before and after variance transformation
Ind_AWAP.2.5 | Sample data: Index of AWAP grids with no missing data
knn | Modified k-nearest neighbour conditional bootstrap or regression function estimation with extrapolation
knnregl1cv | Leave one out cross validation.
lat_lon.2.5 | Sample data: Latitude and longitude of AWAP grids
modwt.vt | Variance Transformation Operation - MODWT
modwt.vt.val | Variance Transformation Operation for Validation
mra.plot | Plot function: Plot original time series and decomposed frequency components
non.bdy | Replace Boundary Wavelet Coefficients with Missing Values (NA).
obs.mon | Sample data: NCEP reanalysis data averaged over Sydney region
padding | Padding data to dyadic sample size
r2.boot | R2 threshold by re-sampling approach
rain.mon | Sample data: Rainfall station data over Sydney region
scal2freqM | Scale to frequency by Matlab
scal2freqR | Scale to frequency by R
SPI.12 | Sample data: Standardized Precipitation Index with 12 month accumulation period.
stepwise.VT | Calculate stepwise high order VT in calibration
stepwise.VT.val | Calculate stepwise high order VT in validation
wave.var | Produces an estimate of the multiscale variance along with approximate confidence intervals.