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-4.5)xwf_0.2-3.zip(r-4.4)xwf_0.2-3.zip(r-4.3)
xwf_0.2-3.tgz(r-4.4-any)xwf_0.2-3.tgz(r-4.3-any)
xwf_0.2-3.tar.gz(r-4.5-noble)xwf_0.2-3.tar.gz(r-4.4-noble)
xwf_0.2-3.tgz(r-4.4-emscripten)xwf_0.2-3.tgz(r-4.3-emscripten)
xwf.pdf |xwf.html✨
xwf/json (API)

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

Peer review:

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 148 downloads 4 exports 4 dependencies

Last updated 5 years agofrom:58d5e87005. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:default_psixwfxwfGridsearchXWFpValues

Dependencies:latticeMatrixmgcvnlme