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://tidyverts.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:

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

Last updated from:f6b6b44916. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK165
source / vignettesOK191
linux-release-x86_64OK171
macos-release-arm64OK158
macos-oldrel-arm64OK165
windows-develOK169
windows-releaseOK120
windows-oldrelOK112
wasm-releaseOK131

Exports:fassterFASSTER

Dependencies:anytimeBHclicpp11digestdistributionaldlmdplyrfabletoolsfarvergenericsggdistggplot2gluegtableisobandlabelinglifecyclelubridatemagrittrnumDerivpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr

Introduction to FASSTER

Rendered fromfasster.Rmdusingknitr::rmarkdownon May 30 2026.

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