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absorber: Variable Selection in Nonparametric Models using B-Splines

A variable selection method using B-Splines in multivariate nOnparametric Regression models Based on partial dErivatives Regularization (ABSORBER) implements a novel variable selection method in a nonlinear multivariate model using B-splines. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.

Version: 1.0
Depends: R (≥ 3.5.0), Matrix, sparsegl, fda, parallel
Imports: ggplot2, MASS, irlba
Suggests: knitr, markdown
Published: 2024-02-23
DOI: 10.32614/CRAN.package.absorber
Author: Mary E. Savino [aut, cre], Celine Levy-Leduc [ctb]
Maintainer: Mary E. Savino <mary.savino at outlook.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: absorber results

Documentation:

Reference manual: absorber.pdf
Vignettes: absorber package

Downloads:

Package source: absorber_1.0.tar.gz
Windows binaries: r-devel: absorber_1.0.zip, r-release: absorber_1.0.zip, r-oldrel: absorber_1.0.zip
macOS binaries: r-release (arm64): absorber_1.0.tgz, r-oldrel (arm64): absorber_1.0.tgz, r-release (x86_64): absorber_1.0.tgz, r-oldrel (x86_64): absorber_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=absorber to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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