Package: HGSL
Title: Heterogeneous Group Square-Root Lasso
Version: 1.0.0
Authors@R: c(
	person("Zhao", "Ren", email = "zren@pitt.edu", role = "aut"),
	person("Yongjian", "Kang", email = "yongjiak@usc.edu", role = c("aut", "cre")),
	person("Yingying", "Fan", email = "fanyingy@marshall.usc.edu", role = "aut"),
	person("Jinchi", "Lv", email = "jinchilv@marshall.usc.edu", role = "aut")
	)
Description: Estimation of high-dimensional multi-response regression with heterogeneous noises under Heterogeneous group square-root Lasso penalty. For details see: Ren, Z., Kang, Y., Fan, Y. and Lv, J. (2018)<arXiv:1606.03803>.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-31 02:30:38 UTC; Administrator
Author: Zhao Ren [aut],
  Yongjian Kang [aut, cre],
  Yingying Fan [aut],
  Jinchi Lv [aut]
Maintainer: Yongjian Kang <yongjiak@usc.edu>
Repository: CRAN
Date/Publication: 2018-08-31 08:30:10 UTC
Built: R 4.6.0; ; 2026-04-26 19:45:52 UTC; unix
