Package: LassoSIR
Type: Package
Title: Sparsed Sliced Inverse Regression via Lasso
Version: 1.0
Date: 2025-03-31
Authors@R: c(person(given = "Zhigen",
                        family = "Zhao",
                        role = c("aut", "cre"),
                        email = "zhigen.zhao@gmail.com"),
                 person(given = "Qian",
                        family = "Lin",
                        role = "aut"),
                 person(given = "Jun",
                        family = "Liu",
                        role = "aut"))
Maintainer: Zhigen Zhao <zhigen.zhao@gmail.com>
Description: Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2019) <doi:10.1080/01621459.2018.1520115>. The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.
License: GPL-3
Imports: glmnet, graphics, stats
NeedsCompilation: no
Packaged: 2025-03-31 18:41:15 UTC; zhigenzhao
Author: Zhigen Zhao [aut, cre],
  Qian Lin [aut],
  Jun Liu [aut]
Repository: CRAN
Date/Publication: 2025-03-31 19:00:12 UTC
Built: R 4.6.0; ; 2026-04-26 08:24:17 UTC; unix
