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High-performance R and C++ implementation using 'OpenMP' parallelization for the 'MiniRocket' algorithm. Extracts features from univariate time series for downstream classification as described in 'Dempster et al.' (2021) (<doi:10.1145/3447548.3467231>).
| Version: | 0.1.0 |
| Imports: | Rcpp (≥ 1.0.0), stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, spelling, testthat |
| Published: | 2026-09-08 |
| DOI: | 10.32614/CRAN.package.minirocketR (may not be active yet) |
| Author: | Manuel Villacorta Tilve [aut, cre] |
| Maintainer: | Manuel Villacorta Tilve <mvt.oviedo at yahoo.es> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17, OpenMP |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | minirocketR results |
| Reference manual: | minirocketR.html , minirocketR.pdf |
| Vignettes: |
Fast Time Series Feature Extraction with minirocketR (source, R code) |
| Package source: | minirocketR_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: minirocketR_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): minirocketR_0.1.0.tgz, r-oldrel (x86_64): minirocketR_0.1.0.tgz |
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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.