Type: Package
Package: ADSIHT
Title: Adaptive Double Sparse Iterative Hard Thresholding
Version: 0.2.1
Date: 2025-11-26
Authors@R: c(
    person("Yanhang", "Zhang", , "zhangyh98@tsinghua.edu.cn", role = c("aut", "cre")),
    person("Zhifan", "Li", , "zhifanli@bimsa.cn", role = "aut"),
    person("Jianxin", "Yin", , "jyin@ruc.edu.cn", role = "aut"),
    person("Shixiang", "Liu", , "liushixiang_stat@ruc.edu.cn", role = "aut"),
    person("Lingren", "Kong", , "lingrenkong@ruc.edu.cn", role = "aut")
  )
Maintainer: Yanhang Zhang <zhangyh98@tsinghua.edu.cn>
Description: Solving high-dimensional double sparse linear regression via an iterative hard thresholding algorithm. Furthermore, the method is extended to jointly estimate multiple graphical models.  For more details, please see <https://www.jmlr.org/papers/v25/23-0653.html> and <doi:10.48550/arXiv.2503.18722>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Matrix, mvnfast, Rcpp, purrr, snowfall
Suggests: knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-11-27 03:47:47 UTC; Zhang
Author: Yanhang Zhang [aut, cre],
  Zhifan Li [aut],
  Jianxin Yin [aut],
  Shixiang Liu [aut],
  Lingren Kong [aut]
Repository: CRAN
Date/Publication: 2025-11-28 13:10:31 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 21:44:59 UTC; unix
Archs: ADSIHT.so.dSYM
