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 |