Wavelet System Prediction

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Documentation for package ‘WASP’ version 1.4.4

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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.