get_mcmc_list {bbsBayes} | R Documentation |

`get_mcmc_list`

will return both the `mcmc.list`

object
and the `sims.list`

object from jagsUI. `mcmc.list`

is a list of the MCMC samples generated by the rjags library,
and `sims.list`

is a vectorized version of `mcmc.list`

produced by the jagsUI library.

```
get_mcmc_list(jags_mod = NULL)
```

`jags_mod` |
JAGS object returned by |

List containing:

`mcmc_list` |
MCMC samples produced by rjags |

`sims_list` |
Vectorized posterior samples produced by jagsUI |

```
# Toy example with Pacific Wren sample data
# First, stratify the sample data
strat_data <- stratify(by = "bbs_cws", sample_data = TRUE)
# Prepare the stratified data for use in a JAGS model.
jags_data <- prepare_jags_data(strat_data = strat_data,
species_to_run = "Pacific Wren",
model = "firstdiff",
min_year = 2009,
max_year = 2018)
# Now run a JAGS model. For the sake of speed, we've adjusted
# some arguments so that the JAGS model will not run any
# adaptation steps (n_adapt = 0), no burnin steps (n_burnin = 0),
# only 50 iterations per chain (n_iter = 50), and will not
# thin the chain (n_thin = 1). This will produce several convergence
# warnings, but we can ignore them for the sake of this toy example.
jags_mod <- run_model(jags_data = jags_data,
n_adapt = 0,
n_burnin = 0,
n_iter = 10,
n_thin = 1)
# Now, obtain the MCMC list
mcmc_list <- get_mcmc_list(jags_mod = jags_mod)
```

[Package *bbsBayes* version 2.5.2 Index]