plot.mcmcSAR | R Documentation |

Plotting the simulation from the posterior distribution as well as the density functions of Bayesian SAR model parameter. For more details about the graphical parameter arguments, see par.

```
## S3 method for class 'mcmcSAR'
plot(x, plot.type = "sim", burnin = NULL, which.parms = "theta", ...)
## S3 method for class 'plot.mcmcSAR'
print(x, ...)
```

`x` |
object of class "mcmcSAR", output of the function |

`plot.type` |
character indicating the type of plot: |

`burnin` |
number of MCMC steps which will be considered as burn-in iterations. If |

`which.parms` |
character indicating the parameters whose the posterior distribution will be plotted: |

`...` |
arguments to be passed to methods, such as par. |

A list consisting of:

`n.group` |
number of groups. |

`N` |
vector of each group size. |

`iteration` |
number of MCMC steps performed. |

`burnin` |
number of MCMC steps which will be considered as burn-in iterations. |

`posterior` |
summary of the posterior distribution to be plotted. |

`hyperparms` |
return value of |

`accept.rate` |
acceptance rate of zeta. |

`propG0.obs` |
proportion of observed network data. |

`method.net` |
network formation model specification. |

`formula` |
input value of |

`ctrl.mcmc` |
return value of |

`which.parms` |
return value of |

`plot.type` |
type of the plot. |

`...` |
arguments passed to methods. |

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