ensr (0.1.0)

0 users

Elastic Net SearcheR.


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.

Maintainer: Peter DeWitt
Author(s): Peter DeWitt [aut, cre], Tell Bennett [ctb]

License: GPL-2

Uses: data.table, ggplot2, glmnet, R.rsp, digest, gridExtra, microbenchmark, knitr, magrittr, rmarkdown, qwraps2, ggforce

Released 12 months ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of ensr yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for ensr on google, google scholar, r-help, r-devel.

Visit ensr on R Graphical Manual.