| 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): x_{t}= sin(2pi*f*t)+eps |
| data.SW3 | Sample data: Sinewave model 3 (SW3): x_{t}= sum_{i=1}^3 sin(2pi*f_{i}*t)+eps |
| 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. |