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Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Version: | 0.4.1 |
Depends: | R (≥ 3.5.0), fabletools (≥ 0.3.1) |
Imports: | rlang (≥ 0.2.0), tibble (≥ 1.4.1), tsibble (≥ 0.9.0), ggplot2 (≥ 3.0.0), dplyr (≥ 1.0.0), tidyr (≥ 0.8.3), scales (≥ 1.1.0), vctrs, lubridate, grid, slider, utils, lifecycle, gtable |
Suggests: | tsibbledata, pillar (≥ 1.0.1), knitr, rmarkdown, testthat, covr, seasonal, urca, fracdiff, fable, ggrepel |
Published: | 2024-09-25 |
DOI: | 10.32614/CRAN.package.feasts |
Author: | Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] (Correlation features), Leanne Chhay [ctb] (Guerrero's method) |
Maintainer: | Mitchell O'Hara-Wild <mail at mitchelloharawild.com> |
BugReports: | https://github.com/tidyverts/feasts/issues |
License: | GPL-3 |
URL: | http://feasts.tidyverts.org/, https://github.com/tidyverts/feasts/ |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | feasts results |
Reference manual: | feasts.pdf |
Vignettes: |
Introduction to feasts (source, R code) |
Package source: | feasts_0.4.1.tar.gz |
Windows binaries: | r-devel: feasts_0.4.1.zip, r-release: feasts_0.4.1.zip, r-oldrel: feasts_0.4.1.zip |
macOS binaries: | r-release (arm64): feasts_0.4.1.tgz, r-oldrel (arm64): feasts_0.4.1.tgz, r-release (x86_64): feasts_0.4.1.tgz, r-oldrel (x86_64): feasts_0.4.1.tgz |
Old sources: | feasts archive |
Reverse imports: | epe4md, finnts, fpp3, gratis, iNZightTS, theft |
Reverse suggests: | fable, fableCount, fabletools, lterdatasampler, netseer, oddnet, RTL, vital |
Please use the canonical form https://CRAN.R-project.org/package=feasts to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.