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-any)features_2025.1.zip(r-4.6-any)features_2025.1.zip(r-4.5-any)
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
DESCRIPTION |NEWS
card.svg |card.png
features/json (API)

# 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.

2.61 score 135 scripts 561 downloads 3 mentions 3 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK122
linux-release-x86_64OK99
macos-release-arm64OK84
macos-oldrel-arm64OK83
windows-develOK56
windows-releaseOK57
windows-oldrelOK61
wasm-releaseOK88

Exports:featuresfgetplot.features

Dependencies:lokernsfsmisc