Package: BayesianLasso Type: Package Title: Bayesian Lasso Regression and Tools for the Lasso Distribution Version: 0.3.8 Date: 2026-03-13 Authors@R: c(person("John", "Ormerod", role = c("aut", "cph"), email = "john.ormerod@sydney.edu.au", comment = c(ORCID = "0000-0002-4650-7507")), person("Mohammad Javad", "Davoudabadi", role = c("aut","cre", "cph"), email = "mohammad.davoudabadi@qut.edu.au", comment = c(ORCID = "0000-0001-7312-1530")), person("Garth", "Tarr", role = c("aut", "cph"), email = "garth.tarr@gmail.com", comment = c(ORCID = "0000-0002-6605-7478")), person("Samuel", "Mueller", role = c("aut", "cph"), email = "samuel.mueller@sydney.edu.au", comment = c(ORCID = "0000-0002-3087-8127")), person("Jonathon", "Tidswell", role = c("aut", "cph"), email = "jonathon.tidswell@sydney.edu.au")) Maintainer: Mohammad Javad Davoudabadi Description: Implements Bayesian Lasso regression using efficient Gibbs sampling algorithms, including modified versions of the Hans and Park–Casella (PC) samplers. Includes functions for working with the Lasso distribution, such as its density, cumulative distribution, quantile, and random generation functions, along with moment calculations. Also includes a function to compute the Mills ratio. Designed for sparse linear models and suitable for high-dimensional regression problems. License: GPL-3 Imports: Rcpp (>= 1.0.12) LinkingTo: Rcpp, RcppNumerical, RcppArmadillo, RcppEigen RoxygenNote: 7.3.2 SystemRequirements: C++14 Encoding: UTF-8 URL: https://garthtarr.github.io/BayesianLasso/, https://github.com/garthtarr/BayesianLasso VignetteBuilder: knitr Suggests: knitr, rmarkdown, monomvn, posterior, rstan, bayesreg, lars, Ecdat, testthat (>= 3.0.0), MASS Config/testthat/edition: 3 BugReports: https://github.com/garthtarr/BayesianLasso/issues Repository: https://garthtarr.r-universe.dev Date/Publication: 2026-03-14 04:18:29 UTC RemoteUrl: https://github.com/garthtarr/bayesianlasso RemoteRef: HEAD RemoteSha: 4bdbbfcb47dec8e09ffe37ecc78aa430906125a8 NeedsCompilation: yes Packaged: 2026-06-12 09:12:56 UTC; root Author: John Ormerod [aut, cph] (ORCID: ), Mohammad Javad Davoudabadi [aut, cre, cph] (ORCID: ), Garth Tarr [aut, cph] (ORCID: ), Samuel Mueller [aut, cph] (ORCID: ), Jonathon Tidswell [aut, cph]