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
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 603 downloads 3 mentions 3 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK169
linux-release-x86_64OK91
macos-release-arm64OK115
macos-oldrel-arm64OK171
windows-develOK75
windows-releaseOK63
windows-oldrelOK62
wasm-releaseOK93

Exports:featuresfgetplot.features

Dependencies:lokernsfsmisc