Package: LassoHiDFastGibbs
Type: Package
Title: Fast High-Dimensional Gibbs Samplers for Bayesian Lasso
        Regression
Version: 0.1.5
Authors@R: c(person("John", "Ormerod",
           email = "john.ormerod@sydney.edu.au",
           role = "aut",
           comment = c(ORCID = "0000-0002-4650-7507")),person("Mohammad Javad", "Davoudabadi",
           email = "mohammad.davoudabadi@qut.edu.au",
           role = c("aut", "cre", "cph")),
           person("Garth", "Tarr",
           email = "garth.tarr@gmail.com",
           role = "aut",
           comment = c(ORCID = "0000-0002-6605-7478")),
           person("Samuel", "Mueller",
           email = "samuel.mueller@sydney.edu.au",
           role = "aut",
           comment = c(ORCID = "0000-0002-3087-8127")),
           person("Jonathon", "Tidswell",
           role = "ctb",
           comment = "Contributed code to src/lasso_distribution.cpp (originally from BayesianLasso package)")
           )
Description: 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>.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
RoxygenNote: 7.3.2
Suggests: posterior
URL: https://github.com/MJDavoudabadi/LassoHiDFastGibbs
BugReports: https://github.com/MJDavoudabadi/LassoHiDFastGibbs/issues
Packaged: 2026-10-25 10:16:31 UTC; root
Author: John Ormerod [aut] (ORCID:
        <https://orcid.org/0000-0002-4650-7507>), Mohammad Javad
        Davoudabadi [aut, cre, cph], Garth Tarr [aut] (ORCID:
        <https://orcid.org/0000-0002-6605-7478>), Samuel Mueller [aut]
        (ORCID: <https://orcid.org/0000-0002-3087-8127>), Jonathon
        Tidswell [ctb] (Contributed code to src/lasso_distribution.cpp
        (originally from BayesianLasso package))
Maintainer: Mohammad Javad Davoudabadi
 <mohammad.davoudabadi@qut.edu.au>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-02-22 03:19:23 UTC
RemoteUrl: https://github.com/cran/LassoHiDFastGibbs
RemoteRef: HEAD
RemoteSha: cefea8a5b6da84ae9739e40adc756b28318f09e0