Package: kosel
Title: Variable Selection by Revisited Knockoffs Procedures
Version: 0.0.1
Authors@R: c(person("Clemence", "Karmann", email = "clemence.karmann@gmail.com", role = c("aut","cre")),person("Aurelie", "Gueudin", email = "aurelie.gueudin@univ-lorraine.fr", role = c("aut")))
Description: Performs variable selection for many types of
        L1-regularised regressions using the revisited knockoffs
        procedure. This procedure uses a matrix of knockoffs of the
        covariates independent from the response variable Y. The idea
        is to determine if a covariate belongs to the model depending
        on whether it enters the model before or after its knockoff.
        The procedure suits for a wide range of regressions with
        various types of response variables. Regression models
        available are exported from the R packages 'glmnet' and
        'ordinalNet'. Based on the paper linked to via the URL below:
        Gegout A., Gueudin A., Karmann C. (2019) <arXiv:1907.03153>.
URL: https://arxiv.org/pdf/1907.03153.pdf
License: GPL-3
Depends: R (>= 1.1)
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: glmnet, ordinalNet
Suggests: graphics
NeedsCompilation: no
Packaged: 2026-09-25 09:47:34 UTC; root
Author: Clemence Karmann [aut, cre], Aurelie Gueudin [aut]
Maintainer: Clemence Karmann <clemence.karmann@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2019-07-18 09:44:06 UTC
RemoteUrl: https://github.com/cran/kosel
RemoteRef: HEAD
RemoteSha: 887cd64506d08722342ae9975cec9d66a85965d8