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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), <arXiv:2306.00686>.
Package details |
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Author | M. E. Savino |
Maintainer | Mary E. Savino <mary.savino@outlook.fr> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
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