Package: synthesis
Title: Generate Synthetic Data from Statistical Models
Version: 1.2.5
Authors@R: 
    person(given = "Ze",
           family = "Jiang",
           role = c("aut", "cre"),
           email = "ze.jiang@unsw.edu.au",
           comment = c(ORCID = "0000-0002-3472-0829"))
Author: Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/zejiang-unsw/synthesis#readme
BugReports: https://github.com/zejiang-unsw/synthesis/issues
Imports: stats, MASS, graphics
Suggests: zoo, knitr, WASP, NPRED, rmarkdown, testthat, devtools
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Repository: https://zejiang-unsw.r-universe.dev
Date/Publication: 2024-06-24 21:09:11 UTC
RemoteUrl: https://github.com/zejiang-unsw/synthesis
RemoteRef: HEAD
RemoteSha: a6b68e7269d12144d21165ec7c955649dae925bd
NeedsCompilation: no
Packaged: 2026-06-19 10:40:13 UTC; root