R: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

# Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

## Documentation for package ‘bayeslm’ version 2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

bayeslm-package | Efficient sampling for Gaussian linear regression with arbitrary priors
bayeslm | Efficient sampling for Gaussian linear model with arbitrary priors
bayeslm.default | Efficient sampling for Gaussian linear model with arbitrary priors
bayeslm.formula | Efficient sampling for Gaussian linear model with arbitrary priors
hs_gibbs | Gibbs sampler of horseshoe regression
plot.MCMC | Plot posterior summary
predict.bayeslm.fit | Predict new data
summary.bayeslm.fit | Summarize fitted object of 'bayeslm'
summary.MCMC | Summarize posterior draws