Package: kko
Title: Kernel Knockoffs Selection for Nonparametric Additive Models
Version: 1.0.1
Authors@R: 
    c(person("Xiaowu", "Dai", role = c("aut")),
    person("Xiang", "Lyu", role = c("aut","cre"), email="xianglyu@berkeley.edu"),
    person("Lexin", "Li", role = c("aut")))
Description: A variable selection procedure, dubbed KKO, for
        nonparametric additive model with finite-sample false discovery
        rate control guarantee. The method integrates three key
        components: knockoffs, subsampling for stability, and random
        feature mapping for nonparametric function approximation. For
        more information, see the accompanying paper: Dai, X., Lyu, X.,
        & Li, L. (2021). “Kernel Knockoffs Selection for Nonparametric
        Additive Models”. arXiv preprint <arXiv:2105.11659>.
License: GPL (>= 2)
Depends: R (>= 3.6.3)
Imports: grpreg, knockoff, doParallel, parallel, foreach, ExtDist
Suggests: knitr, rmarkdown, ggplot2
Encoding: UTF-8
RoxygenNote: 7.1.2
VignetteBuilder: knitr
Author: Xiaowu Dai [aut], Xiang Lyu [aut, cre], Lexin Li [aut]
Maintainer: Xiang Lyu <xianglyu@berkeley.edu>
NeedsCompilation: no
Packaged: 2026-07-04 16:11:04 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-02-01 08:10:05 UTC
RemoteUrl: https://github.com/cran/kko
RemoteRef: HEAD
RemoteSha: de22258945cee40ad42549a83df44d8e0dc0f3de