EBEN: Empirical Bayesian Elastic Net

Provides the Empirical Bayesian Elastic Net for handling multicollinearity in generalized linear regression models. As a special case of the 'EBglmnet' package (also available on CRAN), this package encourages a grouping effects to select relevant variables and estimate the corresponding non-zero effects.

Install the latest version of this package by entering the following in R:
install.packages("EBEN")
AuthorAnhui Huang
Date of publication2015-10-07 09:13:08
MaintainerAnhui Huang <a.huang1@umiami.edu>
LicenseGPL
Version4.6

View on CRAN

Files

src
src/Makevars
src/ElasticNetBinaryNEmainEff.c
src/elasticNetLinearNeFull2.c
src/elasticNetLinearNeMainEff.c
src/ElasticNetBinaryNeFull.c
NAMESPACE
data
data/yBinomial.rda
data/BASISbinomial.rda
data/y.rda
data/BASIS.rda
R
R/EBelasticNet.GaussianCV.R R/EBelasticNet.Binomial.R R/EBelasticNet.Gaussian.R R/EBEN-internal.R R/EBelasticNet.BinomialCV.R
MD5
DESCRIPTION
man
man/BASIS.Rd man/yBinomial.Rd man/EBelasticNet.Binomial.Rd man/y.Rd man/EBelasticNet.Gaussian.Rd man/EBEN-package.Rd man/BASISbinomial.Rd man/EBelasticNet.BinomialCV.Rd man/EBelasticNet.GaussianCV.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.