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.

4 exports 0.00 score 4 dependencies 5 scripts 167 downloads

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

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:default_psixwfxwfGridsearchXWFpValues

Dependencies:latticeMatrixmgcvnlme