scalreg-package {scalreg} | R Documentation |
Scaled sparse linear regression
Description
This package fits scaled sparse linear regression with l_1 penalty. The algorithm jointly estimates the regression coefficients and the noise level in linear regression problem. In addition, the package estimates inverse covariance matrices (precision matrices) via a scale-invariant method.
Details
Package: | scalreg |
Type: | Package |
Version: | 1.0 |
Date: | 2013-12-16 |
License: | GPL-2 |
Author(s)
Tingni Sun <tingni@wharton.upenn.edu>
References
Sun, T. and Zhang, C.-H. (2012) Scaled sparse linear regression. Biometrika, 99 (4), 879-898.
Sun, T. and Zhang, C.-H. (2013) Sparse matrix inversion with scaled Lasso. Journal of Machine Learning Research, 14, 3385-3418.
See Also
scalreg
Examples
## See examples in scalreg
[Package scalreg version 1.0.1 Index]