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 |
| DOI: | 10.32614/CRAN.package.glober |
| Author: | M. E. Savino |
| Maintainer: | Mary E. Savino <mary.savino at outlook.fr> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | glober results |
| Reference manual: | glober.html ,glober.pdf |
| Vignettes: | glober package (source,R code) |
| 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 |
Please use the canonical formhttps://CRAN.R-project.org/package=globerto link to this page.