Package: SplitKnockoff
Type: Package
Title: Split Knockoffs for Structural Sparsity
Version: 2.1
Date: 2024-10-13
Author: Yuxuan Chen [aut, cre] (Development of the latest version of the
    packages),
  Haoxue Wang [aut] (Development of the first version of the packages),
  Yang Cao [aut] (Revison of this package),
  Xinwei Sun [aut] (Original ideas about the package),
  Yuan Yao [aut] (Testing for the package and management of the
    development)
Authors@R: c(person("Yuxuan", "Chen", role = c("aut","cre"),
                     comment="Development of the latest version of the packages",
                     email="yx.chen@connect.ust.hk"),
             person("Haoxue", "Wang", role = c("aut"),
                     comment="Development of the first version of the packages",
                     email="haoxwang@student.ethz.ch"),
             person("Yang", "Cao", role = c("aut"),
                    comment="Revison of this package"),
             person("Xinwei", "Sun", role = c("aut"),
                    comment="Original ideas about the package"),
             person("Yuan", "Yao", role = c("aut"),
                    comment="Testing for the package and management of the development"))
Maintainer: Yuxuan Chen <yx.chen@connect.ust.hk>
Description: Split Knockoff is a data adaptive variable selection framework for controlling the
             (directional) false discovery rate (FDR) in structural sparsity, where variable 
             selection on linear transformation of parameters is of concern. This proposed scheme
             relaxes the linear subspace constraint to its neighborhood, often known as variable
             splitting in optimization.
             Simulation experiments can be reproduced following the Vignette. 
             'Split Knockoffs' is first defined in Cao et al. (2021) <doi:10.48550/arXiv.2103.16159>.
Encoding: UTF-8
RoxygenNote: 7.2.3
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: glmnet, MASS, latex2exp, RSpectra, ggplot2, Matrix, stats,
        mvtnorm
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-14 11:16:35 UTC; 陈宇轩
Repository: CRAN
Date/Publication: 2024-10-14 15:00:06 UTC
Built: R 4.6.0; ; 2025-07-18 08:42:47 UTC; unix
