jkcshea/l1svr: Inference for Support Vector Regression Under l1 Regularization
This package allows users to estimate support vector regressions with l1-norm regularization (l1-SVR). The package employs large sample distribution theory for l1-SVR to estimate p-values and error bars for the SVR regression coefficients.
Getting started
Browse package contents
Package details |
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| Maintainer | Joshua Shea <jkcshea@uchicago.edu> |
| License | GPL-2 | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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