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