<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Variable Selection in Nonparametric Models using B-Splines</dc:title>
  <dc:title>R package absorber version 1.0</dc:title>
  <dc:description>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), &lt;https://hal.science/hal-04434820&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), Matrix, sparsegl, fda, parallel</dc:relation>
  <dc:relation>Imports: ggplot2, MASS, irlba</dc:relation>
  <dc:relation>Suggests: knitr, markdown</dc:relation>
  <dc:creator>Mary E. Savino &lt;mary.savino@outlook.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Mary E. Savino [aut, cre],
  Celine Levy-Leduc [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-02-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=absorber</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.absorber</dc:identifier>
</oai_dc:dc>
