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
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-prerel: absorber_1.0.zip, r-release: absorber_1.0.zip, r-oldrel: absorber_1.0.zip
macOS binaries: r-prerel (arm64): absorber_1.0.tgz, r-release (arm64): absorber_1.0.tgz, r-oldrel (arm64): absorber_1.0.tgz, r-prerel (x86_64): absorber_1.0.tgz, r-release (x86_64): absorber_1.0.tgz

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