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.

2.59 score 130 scripts 545 downloads 3 mentions 3 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK158
linux-releaseOK120
macos-releaseOK99
macos-oldrelOK72
windows-develOK65
windows-releaseOK61
windows-oldrelOK51
wasm-releaseOK80

Exports:featuresfgetplot.features

Dependencies:lokernsfsmisc