Package: fasster 0.1.0.9100

Mitchell OHara-Wild

fasster: Fast Additive Switching of Seasonality, Trend and Exogenous Regressors

Implementation of the FASSTER model for forecasting time series with multiple seasonalities using switching states.

Authors:Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut, ths]

fasster_0.1.0.9100.tar.gz
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fasster_0.1.0.9100.tgz(r-4.4-any)fasster_0.1.0.9100.tgz(r-4.3-any)
fasster_0.1.0.9100.tar.gz(r-4.5-noble)fasster_0.1.0.9100.tar.gz(r-4.4-noble)
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fasster.pdf |fasster.html
fasster/json (API)

# Install 'fasster' in R:
install.packages('fasster', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mitchelloharawild/fasster/issues

On CRAN:

4.85 score 150 stars 94 scripts 2 exports 51 dependencies

Last updated 2 years agofrom:f5eb54a59b. Checks:OK: 1 WARNING: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winWARNINGNov 01 2024
R-4.5-linuxWARNINGNov 01 2024
R-4.4-winWARNINGNov 01 2024
R-4.4-macWARNINGNov 01 2024
R-4.3-winWARNINGNov 01 2024
R-4.3-macWARNINGNov 01 2024

Exports:fassterFASSTER

Dependencies:anytimeBHclicolorspacecpp11digestdistributionaldlmdplyrellipsisfabletoolsfansifarvergenericsggdistggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmenumDerivpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr