synthesis: Generate Synthetic Data from Statistical Models

Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. An application to testing a new method can be found in 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: 1.2.0
Imports: stats, MASS
Suggests: testthat, devtools
Published: 2020-11-05
Author: Ze Jiang ORCID iD [aut, cre]
Maintainer: Ze Jiang <ze.jiang at unsw.edu.au>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: synthesis results

Downloads:

Reference manual: synthesis.pdf
Package source: synthesis_1.2.0.tar.gz
Windows binaries: r-devel: synthesis_1.2.0.zip, r-release: synthesis_1.2.0.zip, r-oldrel: synthesis_1.2.0.zip
macOS binaries: r-release: synthesis_1.2.0.tgz, r-oldrel: synthesis_1.2.0.tgz

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