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pawls: Penalized Adaptive Weighted Least Squares Regression
Efficient algorithms for fitting weighted least squares regression with \eqn{L_{1}}{L1} regularization on both the coefficients and weight vectors, which is able to perform simultaneous variable selection and outliers detection efficiently.
Getting started
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Package details |
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| Author | Bin Luo, Xiaoli Gao |
| Maintainer | Bin Luo <b_luo@uncg.edu> |
| License | GPL-2 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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