Imports: methods, quadmesh, raster, utils, geosphere, stats
Suggests: devtools, knitr, maptools, oce, rgdal, rworldmap, sf, spex,

Title: Generating Time Series with Diverse and Controllable
person("Yanfei", "Kang", role = c("aut", "cre"), email = "yanfeikang@buaa.edu.cn", comment = c(ORCID = "0000-0001-8769-6650")),
person("Feng", "Li", role = "aut", email = "feng.li@cufe.edu.cn", comment = c(ORCID = "0000-0002-4248-9778")),
person("Rob", "Hyndman", role = "ctb", email = "rob.hyndman@monash.edu", comment = c(ORCID = "0000-0002-2140-5352")),
person("Mitchell", "O'Hara-Wild", role = "ctb", email = "mail@mitchelloharawild.com", comment = c(ORCID = "0000-0001-6729-7695")),
person("Bocong", "Zhao", role = "ctb", email = "bocongzhao@163.com")
Description: Generates time series based on mixture autoregressive models. Kang,Y.,Hyndman,R.,Li,F.(2020)<doi:10.1002/sam.11461>.
Imports: tsfeatures, doRNG, polynom, mvtnorm, forecast, dplyr, stats,
tibble, utils, purrr, magrittr, GA, foreach, methods, rlang,
Author: Yanfei Kang [aut, cre] (<https://orcid.org/0000-0001-8769-6650>),

person("Bocong", "Zhao", role = "ctb", email = "bocongzhao@163.com", comment = c(ORCID = "0000-0001-8434-9047"))
tibble, utils, purrr, magrittr, GA, foreach, methods, shiny,
Suggests: fGarch, knitr, rmarkdown, rlang, shinydashboard

Generates synthetic time series based on various univariate time series models
including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.
Imports: doRNG, dplyr, foreach, forecast (>= 8.16), GA, generics,
magrittr, methods, mvtnorm, polynom, purrr, shiny, stats,
Suggests: feasts, fGarch, knitr, rmarkdown, rlang, shinydashboard

Title: Perform Common Quantitative Tasks for Australian Analysts and to
person("Brendan", "Coates", role = "aut"),
person("William", "Young", role = "aut"),
person("Ittima", "Cherastidtham", role = "dtc"))
Description: A series of functions focused on costing and evaluating Australian tax policy in support of the Grattan Institute's Australian Perspectives program. For access to the taxstats package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/drat/", type = "source"). N.B. The taxstats package is approximately 50 MB.
Imports: data.table, dplyr (>= 0.5.0), rsdmx, forecast, lubridate,
assertthat, magrittr, Rcpp (>= 0.12.3), zoo, lazyeval, purrr
Suggests: testthat, taxstats, rmarkdown, dtplyr, ggplot2, scales,