Add Nonparametric Bootstrap SE to 'glmnet' for Selected Coefficients (No Shrinkage) R package glmnetSE version 0.0.1 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>. Software Depends: R (>= 4.0.0) Imports: boot, glmnet, graphics, parallel, stats Sebastian Bahr <sebastian.bahr@unibe.ch> Comprehensive R Archive Network (CRAN) Sebastian Bahr [cre, aut] GPL-3 2021-11-05 application/tgz https://CRAN.R-project.org/package=glmnetSE doi:10.32614/CRAN.package.glmnetSE en-US