Package: xwf 0.2-4

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>.

Authors:Willem van den Boom [aut, cre]

xwf_0.2-4.tar.gz
xwf_0.2-4.zip(r-4.7-any)xwf_0.2-4.zip(r-4.6-any)xwf_0.2-4.zip(r-4.5-any)
xwf_0.2-4.tgz(r-4.6-any)xwf_0.2-4.tgz(r-4.5-any)
xwf_0.2-4.tar.gz(r-4.7-any)xwf_0.2-4.tar.gz(r-4.6-any)
xwf_0.2-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
xwf/json (API)

# Install 'xwf' in R:
install.packages('xwf', repos = c('https://willemvandenboom.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 206 downloads 4 exports 4 dependencies

Last updated from:aac9a66e5e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK196
linux-releaseOK122
macos-releaseOK125
macos-oldrelOK165
windows-develOK81
windows-releaseOK87
windows-oldrelOK81
wasm-releaseOK93

Exports:default_psixwfxwfGridsearchXWFpValues

Dependencies:latticeMatrixmgcvnlme