features: Feature Extraction for Discretely-Sampled Functional Data (original) (raw)
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 |
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| Depends: | lokern |
| Published: | 2015-12-02 |
| DOI: | 10.32614/CRAN.package.features |
| Author: | Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam, AT&T Reserach Labs. |
| Maintainer: | Ravi Varadhan |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html |
| NeedsCompilation: | no |
| Materials: | |
| In views: | NumericalMathematics |
| CRAN checks: | features results |
Documentation:
| Reference manual: | features.pdf |
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Downloads:
| Package source: | features_2015.12-1.tar.gz |
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| Windows binaries: | r-devel: features_2015.12-1.zip, r-release: features_2015.12-1.zip, r-oldrel: features_2015.12-1.zip |
| macOS binaries: | r-release (arm64): features_2015.12-1.tgz, r-oldrel (arm64): features_2015.12-1.tgz, r-release (x86_64): features_2015.12-1.tgz, r-oldrel (x86_64): features_2015.12-1.tgz |
| Old sources: | features archive |
Linking:
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