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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: | 1.2.5 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, MASS, graphics |
Suggests: | zoo, knitr, rmarkdown, testthat, devtools |
Published: | 2024-07-07 |
DOI: | 10.32614/CRAN.package.synthesis |
Author: | Ze Jiang |
Maintainer: | Ze Jiang <ze.jiang at unsw.edu.au> |
BugReports: | https://github.com/zejiang-unsw/synthesis/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/zejiang-unsw/synthesis#readme |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Hydrology, TimeSeries |
CRAN checks: | synthesis results |
Reference manual: | synthesis.pdf |
Vignettes: |
synthesis |
Package source: | synthesis_1.2.5.tar.gz |
Windows binaries: | r-devel: synthesis_1.2.5.zip, r-release: synthesis_1.2.5.zip, r-oldrel: synthesis_1.2.5.zip |
macOS binaries: | r-release (arm64): synthesis_1.2.5.tgz, r-oldrel (arm64): synthesis_1.2.5.tgz, r-release (x86_64): synthesis_1.2.5.tgz, r-oldrel (x86_64): synthesis_1.2.5.tgz |
Old sources: | synthesis archive |
Reverse suggests: | NPRED, WASP |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.