Package: fasster 0.2.0.9000

Mitchell OHara-Wild

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

Implementation of the FASSTER (Forecasting with Additive Switching of Seasonality, Trend, and Exogenous Regressors) model for forecasting time series with multiple seasonal patterns. The model combines state space methodology with a switching component in the observation equation to allow flexible modeling of complex seasonal patterns, including time-varying effects and multiple seasonalities.

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

fasster_0.2.0.9000.tar.gz
fasster_0.2.0.9000.zip(r-4.7)fasster_0.2.0.9000.zip(r-4.6)fasster_0.2.0.9000.zip(r-4.5)
fasster_0.2.0.9000.tgz(r-4.6-any)fasster_0.2.0.9000.tgz(r-4.5-any)
fasster_0.2.0.9000.tar.gz(r-4.7-any)fasster_0.2.0.9000.tar.gz(r-4.6-any)
fasster_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fasster/json (API)
NEWS

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

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

Pkgdown/docs site:https://fasster.tidyverts.org

On CRAN:

Conda:

6.42 score 153 stars 114 scripts 149 downloads 2 exports 43 dependencies

Last updated from:f6b6b44916. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK170
source / vignettesOK208
linux-release-x86_64OK159
macos-release-arm64OK142
macos-oldrel-arm64OK109
windows-develOK105
windows-releaseOK122
windows-oldrelOK109
wasm-releaseOK114

Exports:fassterFASSTER

Dependencies:anytimeBHclicpp11digestdistributionaldlmdplyrfabletoolsfarvergenericsggdistggplot2gluegtableisobandlabelinglifecyclelubridatemagrittrnumDerivpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr

Introduction to FASSTER

Rendered fromfasster.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2026-01-22
Started: 2026-01-22