Feasts autoplot, tbl_cf classical_decomposition coef_hurst cointegration_johansen cointegration_phillips_ouliaris feasts-package feat_acf feat_intermittent feat_pacf feat_spectral feat_stl generate. In the tsibble::tourism data set, this can be further broken down Feb 10, 2026 · feasts: Feature Extraction and Statistics for Time Series Description Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. holidays %>% STL (Trips) %>% autoplot () All components from all series are shown here. It covers user guides, tutorials, release notes, and examples demonstrating time series analysis workflows using feasts functions. Aug 30, 2019 · The forecast package is built for ts objects, while the feasts package provides features, statistics and graphics for tsibbles. The feasts package contains the following man pages: ACF autoplot. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series. Suppose we wanted to analyse seasonal patterns in the number of domestic travellers to Melbourne, Australia. Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The feasts package provides a smorgasbord of tools for analysing tidy temporal data in the tsibble format. The package name feasts is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series. (See my first post for a description of tsibbles. For technical details about package architecture and exports, see Package Architecture and Exports. This page provides an overview of the documentation resources and practical examples available for the feasts package. The package name is an acronym of its primary functionality: Feature Extraction and Statistics for Time Series. ) Exploratory graphics The forecast package provided facilities for plotting time series in various ways. stl_decomposition gg_arma gg_irf gg_lag gg_season gg_subseries gg_tsdisplay gg_tsresiduals guerrero longest_flat_spot n_crossing_points portmanteau . The feasts package allows for more flexible seasonality and for multiple series to be handled simultaneously. All of these have a counterpart in the feasts package.
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