doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.">

WASP: Wavelet System Prediction (original) (raw)

The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.

Version: 1.4.4
Depends: R (≥ 3.6.0)
Imports: waveslim, stats, tidyr, readr, ggplot2, sp, zoo, fitdistrplus
Suggests: FNN, SPEI, knitr, dplyr, cowplot, gridGraphics, bookdown, rmarkdown, synthesis, kableExtra, devtools, testthat
Published: 2024-07-20
DOI: 10.32614/CRAN.package.WASP
Author: Ze Jiang ORCID iD [aut, cre], Md. Mamunur RashidORCID iD [aut], Ashish Sharma ORCID iD [aut], Fiona Johnson ORCID iD [aut]
Maintainer: Ze Jiang <ze.jiang at unsw.edu.au>
BugReports: https://github.com/zejiang-unsw/WASP/issues
License: GPL-3
URL: https://github.com/zejiang-unsw/WASP#readme
NeedsCompilation: no
Citation: WASP citation info
Materials: README, NEWS
In views: Hydrology
CRAN checks: WASP results

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