The R package gratis (previously known as tsgeneration) provides efficient algorithms for generating time series with diverse and controllable characteristics.

install.packages("gratis")

You can install the development version of gratis package from GitHub Repository with:

devtools::install_github("ykang/gratis")

require("gratis")

x <- generate_ts(n.ts = 2, freq = 12, nComp = 2, n = 120)
x$N1$pars
autoplot(x$N1$x)

x <- generate_msts(seasonal.periods = c(7, 365), n = 800, nComp = 2)
autoplot(x)

x <- generate_ts_with_target(n = 1, ts.length = 60, freq = 1, seasonal = 0,
                             features = c('entropy', 'stl_features'),
                             selected.features = c('entropy', 'trend'),
                             target = c(0.6, 0.9))
autoplot(x)

You could run the time series generation procedure in a web application

app_gratis()

Or visit our online Shiny APP

• R package tsfeatures from GitHub Repository.

• Kang, Y., Hyndman, R., and Li, F. (2020). GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Statistical Analysis and Data Mining.

This package is free and open source software, licensed under GPL-3.

Feng Li and Yanfei Kang are supported by the National Natural Science Foundation of China (No. 11501587 and No. 11701022 respectively). Rob J Hyndman is supported by the Australian Centre of Excellence in Mathematical and Statistical Frontiers.