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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 |
| Reference manual: | absorber.pdf |
| Vignettes: |
absorber package |
| 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 |
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