Package: pawls
Type: Package
Title: Penalized Adaptive Weighted Least Squares Regression
Version: 1.0.0
Date: 2017-05-01
Author: Bin Luo, Xiaoli Gao
Maintainer: Bin Luo <b_luo@uncg.edu>
Description: 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.
Imports:
License: GPL-2
Suggests: mvtnorm
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-11 02:05:39 UTC; Administrator
Repository: CRAN
Date/Publication: 2017-05-11 05:51:57 UTC
