dmbc_control {dmbc} | R Documentation |

`dmbc_control()`

is an auxiliary function as user interface for
`dmbc()`

fitting. Typically only used when calling the `dmbc()`

function. It is used to set parameters that affect the sampling but do
not affect the posterior distribution.

`control_dmbc()`

is an alias for `dmbc_control()`

.

`check_control()`

is an auxiliary function that verifies the
correctness of the controls provided before a DMBC is fitted with
`dmbc()`

.

```
dmbc_control(
nsim = 5000,
burnin = 10000,
thin = 1,
nchains = 1,
threads = 1,
seed = NULL,
parallel = "no",
z.prop = 1.5,
alpha.prop = 0.75,
random.start = TRUE,
partition = NULL,
method = "manhattan",
procrustes = TRUE,
relabel = TRUE,
store.burnin = TRUE,
verbose = FALSE
)
control_dmbc(
nsim = 5000,
burnin = 10000,
thin = 1,
nchains = 1,
threads = 1,
seed = NULL,
parallel = "no",
z.prop = 1.5,
alpha.prop = 0.75,
random.start = TRUE,
partition = NULL,
method = "manhattan",
procrustes = TRUE,
relabel = TRUE,
store.burnin = TRUE,
verbose = FALSE
)
check_control(control)
```

`nsim` |
A length-one numeric vector for the number of draws to be taken from the posterior distribution. |

`burnin` |
A length-one numeric vector for the number of initial MCMC iterations (usually to be discarded). |

`thin` |
A length-one numeric vector for the number of iterations between consecutive draws. |

`nchains` |
A length-one numeric vector for the number of parallel chains to run. |

`threads` |
A length-one numeric vector for the number of chains to run. If greater than 1, package parallel is used to take advantage of any multiprocessing or distributed computing capabilities that may be available. |

`seed` |
An integer scalar. If supplied, provides the random number seed. |

`parallel` |
A length-one character vector indicating the type of parallel
operation to be used (if any). Possible values are |

`z.prop` |
A length-one numeric vector providing the standard deviation of the proposal distribution for the jump in the individual latent space position. |

`alpha.prop` |
A length-one numeric vector providing the standard deviation of the proposal distribution for the jump in the individual random effect value. |

`random.start` |
A length-one logical vector. If |

`partition` |
A length-one numeric vector providing the user-defined starting partition. |

`method` |
A length-one character vector that specifies the distance
measure to use in determining the initial partition. Allowed values are
those from the |

`procrustes` |
A length-one logical vector. If |

`relabel` |
A length-one logical vector. If |

`store.burnin` |
A logical scalar. If |

`verbose` |
A logical scalar. If |

`control` |
A list of control options. |

A named list with the control options as components.

Sergio Venturini sergio.venturini@unicatt.it

`dmbc()`

```
## Not run:
data(simdiss, package = "dmbc")
# Shorter run than default.
sim.fit <- dmbc(simdiss,
control = dmbc_control(burnin = 1000, nsim = 2000, thin = 5, verbose = TRUE))
## End(Not run)
```

[Package *dmbc* version 1.0.1 Index]