| bm | Fit a Bayesian model | 
| bsreg-package | Bayesian Spatial Regression Models | 
| cigarettes | Cigarette demand | 
| coda | Methods for 'coda' Markov chain Monte Carlo objects | 
| sample | Obtain draws from a Bayesian model sampler | 
| 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_SV | Set up a volatility prior | 
| tune | Burn-in and tune a Bayesian model sampler | 
| us_states | United States Historical States | 
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