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EBEN (version 4.6)

Empirical Bayesian Elastic Net

Description

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.

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Version

Install

install.packages('EBEN')

Monthly Downloads

618

Version

4.6

License

GPL

Maintainer

Anhui Huang

Last Published

October 7th, 2015

Functions in EBEN (4.6)

y

Sample Response Data for Gaussian Model
EBEN-package

Empirical Bayesian Elastic Net (EBEN)
yBinomial

Sample Variable Data for Binomial Model
EBelasticNet.BinomialCV

Cross Validation (CV) Function to Determine Hyperparameter of the EB_Elastic Net Algorithm for Binomial Model with Normal-Gamma (NG) Prior Distribution
BASIS

An Example Data File for the Gauss Model
EBelasticNet.GaussianCV

Cross Validation (CV) Function to Determine Hyperparameters of the EBEN Algorithm for Gaussian Model
EBelasticNet.Binomial

The EB Elastic Net Algorithm for Binomial Model with Normal-Gamma(NG) Prior Distribution
EBelasticNet.Gaussian

The EB Elastic Net Algorithm for Gaussian Model
BASISbinomial

An Example Data File for the Binomial Model