glober: Estimating Functions with Multivariate B-Splines

Generalized LassO applied to knot selection in multivariate B-splinE Regression (GLOBER) implements a novel approach for estimating functions in a multivariate nonparametric regression model based on an adaptive knot selection for B-splines using the Generalized Lasso. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2023), <doi:10.48550/arXiv.2306.00686>.

Version: 1.0
Depends: R (≥ 3.5.0), Matrix, genlasso, fda, parallel
Imports: ggplot2, plot3D
Suggests: knitr, markdown
Published: 2023-06-07
Author: M. E. Savino
Maintainer: Mary E. Savino <mary.savino at outlook.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: glober results

Documentation:

Reference manual: glober.pdf
Vignettes: glober package

Downloads:

Package source: glober_1.0.tar.gz
Windows binaries: r-prerel: glober_1.0.zip, r-release: glober_1.0.zip, r-oldrel: glober_1.0.zip
macOS binaries: r-prerel (arm64): glober_1.0.tgz, r-release (arm64): glober_1.0.tgz, r-oldrel (arm64): glober_1.0.tgz, r-prerel (x86_64): glober_1.0.tgz, r-release (x86_64): glober_1.0.tgz

Linking:

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