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]