zejiang-unsw/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>.
Getting started
Browse package contents
Package details |
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| Author | Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>), Md. Mamunur Rashid [aut] (<https://orcid.org/0000-0002-0315-9055>), Ashish Sharma [aut] (<https://orcid.org/0000-0002-6758-0519>), Fiona Johnson [aut] (<https://orcid.org/0000-0001-5708-1807>) |
| Maintainer | Ze Jiang <ze.jiang@unsw.edu.au> |
| License | GPL-3 |
| Version | 1.4.4.9000 |
| URL | https://github.com/zejiang-unsw/WASP#readme |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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