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
NeedsCompilation: no
Packaged: 2021-11-05 09:06:53 UTC; bahr
Maintainer: Sebastian Bahr <sebastian.bahr@unibe.ch>
Repository: CRAN
Date/Publication: 2021-11-05 15:40:02 UTC
Built: R 4.6.0; ; 2026-04-28 04:19:39 UTC; unix
