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_pkgdown.yml
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_pkgdown.yml
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url: https://feasts.tidyverts.org
template:
params:
bootswatch: cosmo
includes:
in_header: |
<script defer data-domain="feasts.tidyverts.org" src="https://track.mitchelloharawild.com/js/plausible.js"></script>
development:
mode: auto
authors:
Mitchell O'Hara-Wild:
href: https://mitchelloharawild.com
Rob Hyndman:
href: http://robjhyndman.com
Earo Wang:
href: https://earo.me
navbar:
type: default
left:
- text: Introduction
href: articles/feasts.html
- text: Reference
href: reference/index.html
- text: Changelog
href: news/index.html
# - text: Vignettes
# menu:
# - text: Introduction to feasts
# href: articles/feasts.html
- text: News
menu:
- text: "Release notes"
- text: "Version 0.1.0"
href: https://www.mitchelloharawild.com/blog/feasts/
- text: "Change log"
href: news/index.html
right:
- icon: fa-github fa-lg
href: https://github.com/tidyverts/feasts
reference:
- title: Overview
contents:
- feasts-package
- title: Graphics
desc: >
Visualisation is often the first step in understanding the patterns in time series data.
The package uses [ggplot2](https://ggplot2.tidyverse.org/) to produce customisable graphics to visualise time series patterns.
contents:
- autoplot.tbl_cf
- gg_season
- gg_subseries
- gg_tsdisplay
- gg_tsresiduals
- gg_lag
- gg_arma
- gg_irf
- title: Decompositions
desc: >
Useful for decomposing a time series into some simpler structural components.
contents:
- classical_decomposition
- STL
- generate.stl_decomposition
- X_13ARIMA_SEATS
- title: Autocorrelation analysis
desc: >
Identify autocorrelations in the data.
contents:
- ACF
- PACF
- CCF
- feat_acf
- feat_pacf
- title: Unit root tests
desc: >
Unit root tests for use with [`fabletools::features()`](https://fabletools.tidyverts.org/reference/features.html).
contents:
- unitroot_kpss
- unitroot_pp
- unitroot_ndiffs
- unitroot_nsdiffs
- title: Portmanteau tests
desc: >
Statistical tests for examining the null hypothesis of independence in a given time series.
contents:
- portmanteau_tests
- box_pierce
- ljung_box
- title: Cointegration tests
desc: >
Statistical tests for investigating cointegration between time series.
contents:
- cointegration_johansen
- cointegration_phillips_ouliaris
- title: Tiling window features
desc: >
Computes feature of a time series based on tiled (non-overlapping) windows.
contents:
- var_tiled_var
- var_tiled_mean
- title: Sliding window features
desc: >
Computes feature of a time series based on sliding (overlapping) windows.
contents:
- shift_level_max
- shift_var_max
- shift_kl_max
- title: Other features
desc: >
Uncategorised features
contents:
- feat_stl
- feat_spectral
- feat_intermittent
- stat_arch_lm
- n_crossing_points
- n_flat_spots
- coef_hurst
- guerrero