BayesianLasso

Bayesian Lasso Regression and Tools for the Lasso Distribution

v0.4.1 · Apr 4, 2026 · GPL-3

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.

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r-devel-linux-x86_64-debian-gcc	OK	162.4s
r-devel-linux-x86_64-fedora-clang	OK	279.1s
r-devel-macos-arm64	OK	52s
r-devel-windows-x86_64	OK	280s
r-oldrel-macos-arm64	NOTE
r-oldrel-macos-x86_64	NOTE	200s
r-release-macos-arm64	OK	54s
r-release-macos-x86_64	OK	175s

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NOTE r-oldrel-macos-arm64

installed package size

installed size is  7.3Mb
  sub-directories of 1Mb or more:
    libs   7.1Mb

NOTE r-oldrel-macos-x86_64

installed package size

installed size is  7.7Mb
  sub-directories of 1Mb or more:
    libs   7.4Mb

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NOTE 4 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 4, 2026

NOTE r-oldrel-macos-arm64

installed package size

installed size is  7.3Mb
  sub-directories of 1Mb or more:
    libs   7.1Mb

NOTE r-oldrel-macos-x86_64

installed package size

installed size is  7.7Mb
  sub-directories of 1Mb or more:
    libs   7.4Mb

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Version History

new 0.4.1 Apr 4, 2026