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 [aut, cre], Md. Mamunur Rashid [aut], Ashish Sharma [aut], Fiona Johnson [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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=WASP to link to this page.
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