forecasteR: Time Series Forecast System

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) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.

Version: 2.0.2
Depends: R (≥ 4.0)
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)
Published: 2023-06-19
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
BugReports: https://github.com/PROMiDAT/forecasteR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://promidat.website, https://github.com/PROMiDAT/forecasteR
NeedsCompilation: no
CRAN checks: forecasteR results

Documentation:

Reference manual: forecasteR.pdf

Downloads:

Package source: forecasteR_2.0.2.tar.gz
Windows binaries: r-devel: forecasteR_2.0.2.zip, r-release: forecasteR_2.0.2.zip, r-oldrel: forecasteR_2.0.2.zip
macOS binaries: r-release (arm64): forecasteR_2.0.2.tgz, r-oldrel (arm64): forecasteR_2.0.2.tgz, r-release (x86_64): forecasteR_2.0.2.tgz
Old sources: forecasteR archive

Linking:

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