ebreg

R package ebreg: Implementation of the Empirical Bayes Method. Implements a Bayesian-like approach to the high-dimensional sparse linear regression problem based on an empirical or data-dependent prior distribution, which can be used for estimation/inference on the model parameters, variable selection, and prediction of a future response. The method was first presented in Martin, Ryan and Mess, Raymond and Walker, Stephen G (2017) <doi:10.3150/15-BEJ797>. More details focused on the prediction problem are given in Martin, Ryan and Tang, Yiqi (2019) <arXiv:1903.00961>.

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References in zbMATH (referenced in 1 article )

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  1. Martin, Ryan; Tang, Yiqi: Empirical priors for prediction in sparse high-dimensional linear regression (2020)