synthesis: Generate Synthetic Data from Statistical Models

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>.

Package details

AuthorZe Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
MaintainerZe Jiang <ze.jiang@unsw.edu.au>
LicenseGPL (>= 2)
Version1.2.2
URL https://github.com/zejiang-unsw/synthesis#readme
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("synthesis")

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synthesis documentation built on May 3, 2021, 9:07 a.m.