Package: minirocketR 0.1.0

Manuel Villacorta Tilve

minirocketR: 'MiniRocket': A Very Fast (Almost) Deterministic Transform for Time Series Classification

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>).

Authors:Manuel Villacorta Tilve [aut, cre]

minirocketR_0.1.0.tar.gz
minirocketR_0.1.0.zip(r-4.7-x86_64)minirocketR_0.1.0.zip(r-4.7-arm64)minirocketR_0.1.0.zip(r-4.6-x86_64)minirocketR_0.1.0.zip(r-4.6-arm64)
minirocketR_0.1.0.tar.gz(r-4.7-arm64)minirocketR_0.1.0.tar.gz(r-4.7-x86_64)minirocketR_0.1.0.tar.gz(r-4.6-arm64)minirocketR_0.1.0.tar.gz(r-4.6-x86_64)
minirocketR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
minirocketR/json (API)

# Install 'minirocketR' in R:

install.packages('minirocketR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp openmp

2.70 score 367 downloads 2 exports 2 dependencies

Last updated from:6f4c09f0b9. Checks:10 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	96
linux-devel-x86_64	OK	132
source / vignettes	OK	175
linux-release-arm64	OK	92
linux-release-x86_64	OK	116
windows-devel-arm64	OK	209
windows-devel-x86_64	OK	185
windows-release-arm64	OK	209
windows-release-x86_64	OK	123
wasm-release	OK	102