xwf: Extrema-Weighted Feature Extraction

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

Documentation:

Reference manual:

xwf.pdf

Downloads:

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

Linking:

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