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: 2011.8-2
Depends: lokern
Published: 2011-08-17
Author: Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam, AT&T Reserach Labs.
Maintainer: Ravi Varadhan <rvaradhan at jhmi.edu>
License: GPL (≥ 2)
URL: http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
CRAN checks: features results

Downloads:

Package source: features_2011.8-2.tar.gz
MacOS X binary: features_2011.8-2.tgz
Windows binary: features_2011.8-2.zip
Reference manual: features.pdf
News/ChangeLog:NEWS
Old sources: features archive