https://hydroclimatex.r-universe.devRecent package updates in hydroclimatexR-universehttps://github.com/hydroclimatex.pnghttps://hydroclimatex.r-universe.devSun, 03 May 2026 14:14:45 GMTze.jiang@unsw.edu.au (Ze Jiang)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>.https://github.com/r-universe/hydroclimatex/actions/runs/36694217535Sun, 03 May 2026 14:14:45 GMTWASP1.4.5successhttps://hydroclimatex.r-universe.devhttps://github.com/hydroclimatex/waspWASP.RmdWASP.htmlWASP: An R package for Wavelet System Prediction2020-05-03 02:19:132024-08-04 23:35:09ze.jiang@unsw.edu.au (Ze Jiang)Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.https://github.com/r-universe/hydroclimatex/actions/runs/36693918151Mon, 24 Jun 2024 21:09:11 GMTsynthesis1.2.5successhttps://hydroclimatex.r-universe.devhttps://github.com/hydroclimatex/synthesissynthesis.Rmdsynthesis.htmlsynthesis2020-06-22 00:58:092024-06-24 14:39:06