| 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 | 
| pic.calc | Calculate PIC | 
| 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. | 
| SPI.calc | Calculate Standardized Precipitation Index, SPI | 
| 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. |