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>.

Version: 1.2.3
Depends: R (≥ 3.5.0)
Imports: stats, MASS, graphics
Suggests: zoo, knitr, WASP, NPRED, rmarkdown, testthat, devtools
Published: 2021-11-27
Author: Ze Jiang ORCID iD [aut, cre]
Maintainer: Ze Jiang <ze.jiang at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
In views: Hydrology, TimeSeries
CRAN checks: synthesis results


Reference manual: synthesis.pdf
Vignettes: synthesis


Package source: synthesis_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): synthesis_1.2.3.tgz, r-oldrel (arm64): synthesis_1.2.3.tgz, r-release (x86_64): synthesis_1.2.3.tgz, r-oldrel (x86_64): synthesis_1.2.3.tgz
Old sources: synthesis archive

Reverse dependencies:

Reverse suggests: NPRED, WASP


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