Feature Extraction And Statistics for Time Series
Provides a collection of features, decompositions, 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.
c(
person("Mitchell", "O'Hara-Wild", email = "mail@mitchelloharawild.com", role = c("aut", "cre")),
person("Rob", "Hyndman", role = "aut"),
person("Earo", "Wang", role = "aut"),
person("Di", "Cook", role = "ctb"),
person("Thiyanga", "Talagala", role = "ctb", comment = "Correlation features"),
person("Leanne", "Chhay", role = "ctb", comment = "Guerrero's method")
)
tsibbledata, pillar (>= 1.0.1), knitr, rmarkdown, testthat,
covr, grid, seasonal, urca, fracdiff, fable, ForeCA
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)

tsibbledata, pillar (>= 1.0.1), knitr, rmarkdown, testthat,
covr, seasonal, urca, fracdiff, fable, ForeCA

Feature Extraction and Statistics for Time Series
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.

tsibbledata, pillar (>= 1.0.1), knitr, rmarkdown, testthat,
covr, seasonal, urca, fracdiff, fable

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

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
tsibbledata, pillar (>= 1.0.1), knitr, rmarkdown, testthat,
covr, seasonal, urca, fracdiff, fable, ggrepel

c(
person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
person("RStudio", role = "cph"),
person("Feather developers", role = "ctb", comment = "Bundled feather library"),
person("Google", role = "ctb", comment = "Bundled flatbuffers code"),
person("LevelDB Authors", role = "ctb")
)
Read and write feather files, a lightweight binary columnar
data store designed for maximum speed.
Hadley Wickham [aut, cre],
RStudio [cph],
Feather developers [ctb] (Bundled feather library),
Google [ctb] (Bundled flatbuffers code),
LevelDB Authors [ctb]