ebreg swMATH ID: 35484 Software Authors: Yiqi Tang, Ryan Martin Description: 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>. Homepage: https://cran.r-project.org/web/packages/ebreg/index.html Source Code: https://github.com/cran/ebreg Dependencies: R Related Software: horseshoe; selectiveInference; parcor; mixOmics; lars Cited in: 1 Publication Cited by 2 Authors 1 Martin, Ryan 1 Tang, Yiqi Cited in 1 Serial 1 Journal of Machine Learning Research (JMLR) Cited in 1 Field 1 Computer science (68-XX) Citations by Year