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-devel: glober_1.0.zip, r-release: glober_1.0.zip, r-oldrel: glober_1.0.zip
macOS binaries:	r-release (arm64): glober_1.0.tgz, r-oldrel (arm64): glober_1.0.tgz, r-release (x86_64): glober_1.0.tgz, r-oldrel (x86_64): glober_1.0.tgz

Linking:

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