Changes in version 1.0.8 (2026-02-26)                  

  - simulate_target(): examples updated to use dplyr::reframe() instead
    of summarise() to comply with dplyr 1.2.0.

                 Changes in version 1.0.7 (2024-04-10)                  

  - Fixed dependency issue on CRAN.

                 Changes in version 1.0.5 (2023-08-28)                  

  - Fixed the 'docType' issue.

                 Changes in version 1.0.3 (2023-03-27)                  

  - Fixed CRAN checking issues.

                 Changes in version 1.0.0 (2022-01-14)                  

  - Improved documentation
  - Added new functions for MAR simulation: mar_model(), simulate.mar()
  - Added ets_model() and arima_model() to randomly specify ETS and
    ARIMA models
  - Added generate.ets, generate.mar, and generate.Arima to return
    tsibbles
  - Added generate_target() and simulate_target() functions.
  - Deprecated generate_msts(), generate_ts(), and
    generate_ts_with_target().
  - Removed some redundant functions

                 Changes in version 0.2.1 (2020-10-08)                  

Improvements

  - Added new parameter output_format, giving users an option to
    transform time series output data into a tsibble format.
  - Update vignette content

Bug fixes

  - Corrected dependencies in R code, which is namespaces in Imports
    field not imported from: 'rlang' 'shinydashboard'

                 Changes in version 0.2.0 (2020-08-03)                  

  - First release.

New features

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