Package: ensr
Title: Elastic Net SearcheR
Version: 0.1.0
Authors@R: c(
    person("Peter", "DeWitt", , "peter.dewitt@ucdenver.edu", role = c("aut", "cre")),
    person("Tell",  "Bennett", , "tell.bennett@ucdenver.edu", role = c("ctb"))
    )
Description: Elastic net regression models are controlled by two parameters,
  lambda, a measure of shrinkage, and alpha, a metric defining the model's
  location on the spectrum between ridge and lasso regression.  
  glmnet provides tools for selecting lambda via cross
  validation but no automated methods for selection of alpha.  Elastic Net
  SearcheR automates the simultaneous selection of both lambda and alpha.
  Developed, in part, with support by NICHD R03 HD094912.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/dewittpe/ensr
LazyData: true
Depends: R (>= 3.5.0), glmnet
Imports: data.table, ggplot2
Suggests: digest, ggforce, gridExtra, knitr, magrittr, microbenchmark,
        qwraps2 (>= 0.4.0), R.rsp, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-01-14 22:51:48 UTC; dewittp
Author: Peter DeWitt [aut, cre],
  Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@ucdenver.edu>
Repository: CRAN
Date/Publication: 2019-01-21 23:30:03 UTC
Built: R 4.6.0; ; 2026-04-28 02:49:22 UTC; unix
