Package: bayesreg 1.3
Daniel F. Schmidt
bayesreg: Bayesian Regression Models with Global-Local Shrinkage Priors
Fits linear or generalized linear regression models using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Provides an efficient implementation of ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace, Student-t, Poisson or geometric distributed targets using the algorithms summarized in Makalic and Schmidt (2016) <doi:10.48550/arXiv.1611.06649>.
Authors:
bayesreg_1.3.tar.gz
bayesreg_1.3.zip(r-4.7-any)bayesreg_1.3.zip(r-4.6-any)
bayesreg_1.3.tar.gz(r-4.7-any)bayesreg_1.3.tar.gz(r-4.6-any)
bayesreg_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bayesreg/json (API)
| # Install 'bayesreg' in R: |
| install.packages('bayesreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- spambase - Spambase
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cd25c7f71a. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 105 | ||
| source / vignettes | OK | 166 | ||
| linux-release | OK | 98 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 74 | ||
| wasm-release | OK | 97 |
Exports:bayesreg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Getting started with the Bayesreg package | bayesreg-package |
| Fitting Bayesian Regression Models with Continuous Shrinkage Priors | bayesreg |
| Prediction method for Bayesian penalised regression ('bayesreg') models | predict.bayesreg |
| Spambase | spambase |
| Summarization method for Bayesian penalised regression ('bayesreg') models | summary.bayesreg |