Package: features 2025.1

features: Feature Extraction for Discretely-Sampled Functional Data

Discretely-sampled function is first smoothed. Features of the smoothed function are then extracted. Some of the key features include mean value, first and second derivatives, critical points (i.e. local maxima and minima), curvature of cunction at critical points, wiggliness of the function, noise in data, and outliers in data.

Authors:Ravi Varadhan [aut, cre], Johns Hopkins University [aut], MKG Subramaniam [aut], AT&T Reserach Labs. [aut]

features_2025.1.tar.gz
features_2025.1.zip(r-4.7)features_2025.1.zip(r-4.6)features_2025.1.zip(r-4.5)
features_2025.1.tgz(r-4.6-any)features_2025.1.tgz(r-4.5-any)
features_2025.1.tar.gz(r-4.7-any)features_2025.1.tar.gz(r-4.6-any)
features_2025.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
features/json (API)
NEWS

# Install 'features' in R:
install.packages('features', repos = c('https://rvaradhan.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

2.57 score 125 scripts 613 downloads 3 mentions 3 exports 2 dependencies

Last updated from:82a66f8b84. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK91
source / vignettesOK150
linux-release-x86_64OK85
macos-release-arm64OK96
macos-oldrel-arm64OK98
windows-develOK81
windows-releaseOK54
windows-oldrelOK61
wasm-releaseOK84

Exports:featuresfgetplot.features

Dependencies:lokernsfsmisc