https://mjdavoudabadi.r-universe.devRecent package updates in mjdavoudabadiR-universehttps://github.com/mjdavoudabadi.pnghttps://mjdavoudabadi.r-universe.devSat, 21 Feb 2026 19:27:02 GMTmohammad.davoudabadi@qut.edu.au (Mohammad Javad Davoudabadi)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>.https://github.com/r-universe/mjdavoudabadi/actions/runs/26395765035Sat, 21 Feb 2026 19:27:02 GMTLassoHiDFastGibbs0.1.5successhttps://mjdavoudabadi.r-universe.devhttps://github.com/mjdavoudabadi/lassohidfastgibbs