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.

Version: 2015.12-1
Depends: lokern
Published: 2015-12-02
Author: Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam, AT&T Reserach Labs.
Maintainer: Ravi Varadhan <rvaradhan at jhmi.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
NeedsCompilation: no
Materials: NEWS
In views: NumericalMathematics
CRAN checks: features results


Reference manual: features.pdf
Package source: features_2015.12-1.tar.gz
Windows binaries: r-devel: features_2015.12-1.zip, r-release: features_2015.12-1.zip, r-oldrel: features_2015.12-1.zip
OS X binaries: r-release: features_2015.12-1.tgz, r-oldrel: features_2015.12-1.tgz
Old sources: features archive


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