Parameter Expanded Variational Bayes for High-Dimensional Linear Regression // Implements a parameter expanded variational Bayes algorithm for linear regression models with high-dimensional variable selection. The methodology utilizes spike-and-slab priors to perform simultaneous estimation and selection. Details can be found in Olejua et al. (2024) doi:10.21203/rs.3.rs-7208847/v1.