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: |
2025.1 |
| Depends: |
lokern |
| Published: |
2025-04-14 |
| Author: |
Ravi Varadhan [aut, cre],
Johns Hopkins University [aut],
MKG Subramaniam [aut],
AT&T Reserach Labs. [aut] |
| Maintainer: |
Ravi Varadhan <ravi.varadhan at jhu.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
NumericalMathematics |
| CRAN checks: |
features results |
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