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features : Feature Extraction for Discretely-Sampled Functional Data

Package: features
Type: Package
Title: Feature Extraction for Discretely-Sampled Functional Data
Description: 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.
Depends: lokern
Version: 2015.12-1
Date: 2015-12-01
Author: Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam,
AT&T Reserach Labs.
Maintainer: Ravi Varadhan <rvaradhan@jhmi.edu>
URL:
http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
License: GPL (>= 2)
LazyLoad: yes
Repository: CRAN
Date/Publication: 2015-12-02 00:01:49
Packaged: 2015-12-01 21:05:02 UTC; rvaradh1
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: NumericalMathematics
● 0 images, 3 functions, 0 datasets
● Reverse Depends: 0