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), <arXiv:2306.00686>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | glober_1.0.tar.gz |
1.0 MiB |
1.0 |
rolling linux/jammy R-4.5 | glober_1.0.tar.gz |
909.9 KiB |
1.0 |
rolling linux/noble R-4.5 | glober_1.0.tar.gz |
910.2 KiB |
1.0 |
latest source/ R- | glober_1.0.tar.gz |
1.0 MiB |
1.0 |
latest linux/jammy R-4.5 | glober_1.0.tar.gz |
909.9 KiB |
1.0 |
latest linux/noble R-4.5 | glober_1.0.tar.gz |
910.2 KiB |
1.0 |
2026-04-23 source/ R- | glober_1.0.tar.gz |
1.0 MiB |
1.0 |
2026-04-09 windows/windows R-4.5 | glober_1.0.zip |
913.8 KiB |
1.0 |
2025-04-20 source/ R- | glober_1.0.tar.gz |
1.0 MiB |