Package: forecasteR 3.0.2

Oldemar Rodriguez

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>.

Authors:Oldemar Rodriguez [aut, cre], Diego Jiménez [aut]

forecasteR_3.0.2.tar.gz
forecasteR_3.0.2.tar.gz(r-4.5-noble)forecasteR_3.0.2.tar.gz(r-4.4-noble)
forecasteR_3.0.2.tgz(r-4.4-emscripten)forecasteR_3.0.2.tgz(r-4.3-emscripten)
forecasteR.pdf |forecasteR.html✨
forecasteR/json (API)

# Install 'forecasteR' in R:
install.packages('forecasteR', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/promidat/forecaster/issues0 issues

On CRAN:

Conda:

1.00 score 207 downloads 23 exports 106 dependencies

Last updated 4 months agofrom:e2ffb2d2e2. Checks:2 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-linuxNOTEMar 26 2025
R-4.4-linuxOKMar 26 2025

Exports:calibrar.arimacalibrar.HWdf_periodsdfnormale_acfe_decomposee_histnormale_pacfe_periodse_qqe_tcget_startgrafico.erroresMSERERMSERSSrun_appsmoothingtabla.errorestext_toDatevar.categoricasvar.numericas

Dependencies:attemptbackportsbase64encbroombslibcachemclicolorspacecolourpickercommonmarkconfigcorrplotcountrycodecpp11crayoncrosstalkcurldigestdplyrDTecharts4revaluatefansifarverfastmapfontawesomeforecastfracdifffreshfsgenericsggplot2gluegolemgtableherehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelmtestlubridatemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmennetpillarpkgconfigpromisespurrrquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrprojrootrstudioapisassscalesshinyshinyAceshinycustomloadershinydashboardshinydashboardPlusshinyjssourcetoolsstringistringrtibbletidyrtidyselecttimechangetimeDatetinytextseriesTTRurcautf8vctrsviridisLitewaiterwithrxfunxtablextsyamlzoo

Citation

To cite package ‘forecasteR’ in publications use:

Rodriguez O, Jiménez D (2024). forecasteR: Time Series Forecast System. R package version 3.0.2, https://CRAN.R-project.org/package=forecasteR.

Corresponding BibTeX entry: 

  @Manual{,
    title = {forecasteR: Time Series Forecast System},
    author = {Oldemar Rodriguez and Diego Jiménez},
    year = {2024},
    note = {R package version 3.0.2},
    url = {https://CRAN.R-project.org/package=forecasteR},
  }