[aut,
cre]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 [aut,
cre] |
| Maintainer: | Ze Jiang <ze.jiang at unsw.edu.au> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | synthesis results |
| 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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