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Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in van den Boom et al. (2018) <doi:10.1093/bioinformatics/bty120>.
| Version: | 0.2-3 |
| Imports: | mgcv |
| Published: | 2020-02-20 |
| Author: | Willem van den Boom [aut, cre] |
| Maintainer: | Willem van den Boom <willem at wvdboom.nl> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | xwf results |
| Reference manual: | xwf.pdf |
| Package source: | xwf_0.2-3.tar.gz |
| Windows binaries: | r-devel: xwf_0.2-3.zip, r-release: xwf_0.2-3.zip, r-oldrel: xwf_0.2-3.zip |
| macOS binaries: | r-release (arm64): xwf_0.2-3.tgz, r-oldrel (arm64): xwf_0.2-3.tgz, r-release (x86_64): xwf_0.2-3.tgz, r-oldrel (x86_64): xwf_0.2-3.tgz |
| Old sources: | xwf archive |
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