Package: xwf 0.2-3

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_0.2-3.tar.gz
xwf_0.2-3.zip(r-4.7)xwf_0.2-3.zip(r-4.6)xwf_0.2-3.zip(r-4.5)
xwf_0.2-3.tgz(r-4.6-any)xwf_0.2-3.tgz(r-4.5-any)
xwf_0.2-3.tar.gz(r-4.7-any)xwf_0.2-3.tar.gz(r-4.6-any)
xwf_0.2-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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:

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 165 downloads 4 exports 4 dependencies

Last updated from:58d5e87005. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	122
source / vignettes	OK	136
linux-release-x86_64	NOTE	127
macos-release-arm64	NOTE	140
macos-oldrel-arm64	NOTE	152
windows-devel	NOTE	93
windows-release	NOTE	89
windows-oldrel	NOTE	85
wasm-release	OK	115