Fast High-Dimensional Gibbs Samplers for Bayesian Lasso Regression // Provides fast and scalable Gibbs sampling algorithms for Bayesian Lasso regression model in high- dimensional settings. The package implements efficient partially collapsed and nested Gibbs samplers for Bayesian Lasso, with a focus on computational efficiency when the number of predictors is large relative to the sample size. Methods are described at Davoudabadi and Ormerod (2026) https://github.com/MJDavoudabadi/LassoHiDFastGibbs.