Learn R Programming

scalreg (version 1.0.1)

scalreg-package: 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.

Arguments

Details

Package: scalreg
Type: Package
Version: 1.0
Date: 2013-12-16
License: GPL-2

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

Run this code
# NOT RUN {
## See examples in scalreg
# }

Run the code above in your browser using DataLab