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 Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: rlang, stats, Rcpp (≥ 0.12.15)
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-06-03
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


Reference manual: Rcatch22.pdf
Vignettes: Introduction to Rcatch22


Package source: Rcatch22_0.2.1.tar.gz
Windows binaries: r-devel: Rcatch22_0.2.1.zip, r-release: Rcatch22_0.2.1.zip, r-oldrel: Rcatch22_0.2.1.zip
macOS binaries: r-release (arm64): Rcatch22_0.2.1.tgz, r-oldrel (arm64): Rcatch22_0.2.1.tgz, r-release (x86_64): Rcatch22_0.2.1.tgz, r-oldrel (x86_64): Rcatch22_0.2.1.tgz
Old sources: Rcatch22 archive

Reverse dependencies:

Reverse imports: theft


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