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: | 0.1.12 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 0.12.15) |
LinkingTo: | Rcpp |
Suggests: | knitr, markdown, rmarkdown |
Published: | 2021-05-31 |
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_0.1.12.tar.gz |
Windows binaries: | r-devel: Rcatch22_0.1.12.zip, r-devel-UCRT: Rcatch22_0.1.12.zip, r-release: Rcatch22_0.1.12.zip, r-oldrel: Rcatch22_0.1.12.zip |
macOS binaries: | r-release (arm64): Rcatch22_0.1.12.tgz, r-release (x86_64): Rcatch22_0.1.12.tgz, r-oldrel: Rcatch22_0.1.12.tgz |
Old sources: | Rcatch22 archive |
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