Package: tsforecast
Type: Package
Title: Time Series Forecasting Functions
Version: 1.3.0
Date: 2026-01-15
Authors@R: c(
    person(
      "Ka Yui Karl", "Wu",
      email = "karlwuky@suss.edu.sg",
      role = c("aut", "cre")
    )
  )
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>
Language: en-GB
Description: Fundamental time series forecasting models such as
        autoregressive integrated moving average (ARIMA), exponential
        smoothing, and simple moving average are included. For ARIMA
        models, the output follows the traditional parameterisation by
        Box and Jenkins (1970, ISBN: 0816210942, 9780816210947).
        Furthermore, there are functions for detailed time series
        exploration and decomposition, respectively. All data and
        result visualisations are generated by 'ggplot2' instead of
        conventional R graphical output. For more details regarding the
        theoretical background of the models see Hyndman, R.J. and
        Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 3.5.0)
Imports: ggplot2, lubridate, forecast, tseries, scales
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-07-05 05:21:45 UTC; root
Author: Ka Yui Karl Wu [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-21 12:40:02 UTC
RemoteUrl: https://github.com/cran/tsforecast
RemoteRef: HEAD
RemoteSha: 05c2d041804f6ffea427cd1f9e90fc33b618f42c