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>.

Package details

AuthorZe 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>)
MaintainerZe Jiang <ze.jiang@unsw.edu.au>
LicenseGPL-3
Version1.4.4
URL https://github.com/zejiang-unsw/WASP#readme
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("WASP")

Try the WASP package in your browser

Any scripts or data that you put into this service are public.

WASP documentation built on Sept. 11, 2024, 9:03 p.m.