WASP: Wavelet System Prediction
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: |
1.4.3 |
Depends: |
R (≥ 3.6.0) |
Imports: |
waveslim, stats, tidyr, ggplot2, sp, rlang (≥ 1.0.0) |
Suggests: |
zoo, FNN, readr, knitr, cowplot, gridGraphics, bookdown, rmarkdown, SPEI, NPRED, synthesis, kableExtra, fitdistrplus, devtools, testthat |
Published: |
2022-08-22 |
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 |
Materials: |
README NEWS |
In views: |
Hydrology |
CRAN checks: |
WASP results |
Documentation:
Downloads:
Reverse dependencies:
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