plot.mcmcSAR: Plotting estimation of Bayesian SAR model

Description

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.

Usage

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

Value

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 hyperparms.
accept.rate: acceptance rate of zeta.
propG0.obs: proportion of observed network data.
method.net: network formation model specification.
formula: input value of formula.
ctrl.mcmc: return value of ctrl.mcmc.
which.parms: return value of which.parms.
plot.type: type of the plot.
...: arguments passed to methods.

Arguments

x: object of class "mcmcSAR", output of the function mcmcSAR or object of class "plot.mcmcSAR", output of the function plot.mcmcSAR.
plot.type: character indicating the type of plot: "sim" for plotting the simulation from the posterior distribution or "dens" for plotting the posterior density functions.
burnin: number of MCMC steps which will be considered as burn-in iterations. If NULL (default value), the 50% first MCMC steps performed are used as burn-in iterations.
which.parms: character indicating the parameters whose the posterior distribution will be plotted: "theta" for the parameters of the outcome model and "rho" for the parameters of the network formation model.
...: arguments to be passed to methods, such as par.