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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
DOI: 10.32614/CRAN.package.forecasteR
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, r-oldrel (x86_64): forecasteR_2.0.2.tgz
Old sources: forecasteR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forecasteR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.