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Rcatch22: Calculation of 22 Canonical Time-Series Characteristics

Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by <doi:10.1007/s10618-019-00647-x>.

Version: 0.2.3
Depends: R (≥ 3.5.0)
Imports: rlang, stats, Rcpp (≥ 0.12.15)
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-02
DOI: 10.32614/CRAN.package.Rcatch22
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Maintainer: Trent Henderson <then6675 at uni.sydney.edu.au>
BugReports: https://github.com/hendersontrent/Rcatch22/issues/
License: GPL-3
NeedsCompilation: yes
Materials: README
In views: TimeSeries
CRAN checks: Rcatch22 results

Documentation:

Reference manual: Rcatch22.pdf
Vignettes: Introduction to Rcatch22 (source, R code)

Downloads:

Package source: Rcatch22_0.2.3.tar.gz
Windows binaries: r-devel: Rcatch22_0.2.3.zip, r-release: Rcatch22_0.2.3.zip, r-oldrel: Rcatch22_0.2.3.zip
macOS binaries: r-release (arm64): Rcatch22_0.2.3.tgz, r-oldrel (arm64): Rcatch22_0.2.3.tgz, r-release (x86_64): Rcatch22_0.2.3.tgz, r-oldrel (x86_64): Rcatch22_0.2.3.tgz
Old sources: Rcatch22 archive

Reverse dependencies:

Reverse imports: theft

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rcatch22 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.
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