Package: BayesianLasso 0.4.1
Mohammad Javad Davoudabadi
BayesianLasso: Bayesian Lasso Regression and Tools for the Lasso Distribution
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.
Authors:
BayesianLasso_0.4.1.tar.gz
BayesianLasso_0.4.1.tar.gz(r-4.7-arm64)BayesianLasso_0.4.1.tar.gz(r-4.7-x86_64)BayesianLasso_0.4.1.tar.gz(r-4.6-arm64)BayesianLasso_0.4.1.tar.gz(r-4.6-x86_64)
BayesianLasso_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesianLasso/json (API)
NEWS
| # Install 'BayesianLasso' in R: |
| install.packages('BayesianLasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/garthtarr/bayesianlasso/issues
Pkgdown/docs site:https://garthtarr.github.io
Last updated from:9c2f2feb1d. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 222 | ||
| linux-devel-x86_64 | OK | 222 | ||
| source / vignettes | OK | 320 | ||
| linux-release-arm64 | OK | 224 | ||
| linux-release-x86_64 | OK | 235 | ||
| wasm-release | OK | 186 |
Exports:dlassoelassoMillsRatiomlassoModified_Hans_GibbsModified_PC_Gibbsnormalizeplassoqlassorlassovlassozlasso
Dependencies:RcppRcppArmadilloRcppEigenRcppNumerical
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Lasso Distribution | dlasso elasso LassoDistribution MillsRatio mlasso Modified_Hans_Gibbs Modified_PC_Gibbs plasso qlasso rlasso vlasso zlasso |
| Normalize Response and Covariates | normalize |