Package: forecasteR Title: Time Series Forecast System Version: 2.0.2 Authors@R: c(person(given = "Oldemar", family = "Rodriguez", role = c("aut", "cre"), email = "oldemar.rodriguez@ucr.ac.cr"), person(given = "Diego", family = "Jiménez", role = "aut")) Description: A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) and ARIMA Brockwell, P.J. and R.A.Davis (1991) . License: GPL (>=2) Imports: DT, zoo, golem, config, forecast, htmltools, lubridate, stringr, keras, rlang, shinyjs, shinyAce, echarts4r, htmlwidgets, colourpicker, shinydashboard, shiny (>= 1.7.1), shinycustomloader, shinydashboardPlus (>= 2.0.0) Depends: R (>= 4.1.0) Encoding: UTF-8 URL: https://promidat.website, https://github.com/PROMiDAT/forecasteR BugReports: https://github.com/PROMiDAT/forecasteR/issues RoxygenNote: 7.2.3 Config/pak/sysreqs: cmake make libicu-dev libpng-dev libuv1-dev python3 zlib1g-dev Repository: https://promidat.r-universe.dev Date/Publication: 2023-06-21 17:28:26 UTC RemoteUrl: https://github.com/PROMiDAT/forecasteR RemoteRef: HEAD RemoteSha: 34774818c8c98fe7c93b85b4c121dc35098ae242 NeedsCompilation: no Packaged: 2026-10-01 08:48:12 UTC; root Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [aut] Maintainer: Oldemar Rodriguez