Type: Package
Package: glmnetSE
Title: Add Nonparametric Bootstrap SE to 'glmnet' for Selected
        Coefficients (No Shrinkage)
Version: 0.0.1
Authors@R: 
    person(given = "Sebastian",
           family = "Bahr",
           role = c("cre", "aut"),
           email = "sebastian.bahr@unibe.ch")
Author: Sebastian Bahr [cre, aut]
Description: Builds a LASSO, Ridge, or Elastic Net model with 'glmnet'
        or 'cv.glmnet' with bootstrap inference statistics (SE, CI, and
        p-value) for selected coefficients with no shrinkage applied
        for them. Model performance can be evaluated on test data and
        an automated alpha selection is implemented for Elastic Net.
        Parallelized computation is used to speed up the process. The
        methods are described in Friedman et al. (2010)
        <doi:10.18637/jss.v033.i01> and Simon et al. (2011)
        <doi:10.18637/jss.v039.i05>.
License: GPL-3
URL: https://github.com/sebastianbahr/glmnetSE
BugReports: https://github.com/sebastianbahr/glmnetSE/blob/main/issues
Depends: R (>= 4.0.0)
Imports: boot, glmnet, graphics, parallel, stats
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.1.1
Repository: https://sebastianbahr.r-universe.dev
Date/Publication: 2021-11-05 09:02:53 UTC
RemoteUrl: https://github.com/sebastianbahr/glmnetse
RemoteRef: HEAD
RemoteSha: dfa699d9d358b4e147f9e0ba516f50273b8e6d5a
NeedsCompilation: no
Packaged: 2026-10-01 10:40:03 UTC; root
Maintainer: Sebastian Bahr <sebastian.bahr@unibe.ch>