R: Bayesian Spatial Regression Models

# Bayesian Spatial Regression Models

## Documentation for package ‘bsreg’ version 0.0.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bsreg-package | Bayesian Spatial Regression Models
as.mcmc.bm | Methods for 'coda' Markov chain Monte Carlo objects
blm | Fit a Bayesian model
bm | Fit a Bayesian model
bm.bm | Fit a Bayesian model
bm.formula | Fit a Bayesian model
bsar | Fit a Bayesian model
bsdem | Fit a Bayesian model
bsdm | Fit a Bayesian model
bsem | Fit a Bayesian model
bslx | Fit a Bayesian model
bsv | Fit a Bayesian model
burn | Burn-in and tune a Bayesian model sampler
cigarettes | Cigarette demand
coda | Methods for 'coda' Markov chain Monte Carlo objects
sample | Obtain draws from a Bayesian model sampler
set_HS | Set up a Normal-Gamma prior
set_mh | Settings to tune a Metropolis-Hastings step
set_NG | Set up a Normal-Gamma prior
set_options | Set up Bayesian model priors and settings
set_SAR | Set up a spatial prior
set_SEM | Set up a spatial prior
set_SLX | Set up a spatial prior
set_SNG | Set up a Normal-Gamma prior
set_SV | Set up a volatility prior
tune | Burn-in and tune a Bayesian model sampler
us_states | United States Historical States