Summary and print methods for the class mcmcSAR.
# S3 method for mcmcSAR
summary(object, alpha = 0.95, plot.type = NULL, burnin = NULL, ...)# S3 method for summary.mcmcSAR
print(x, ...)
# S3 method for mcmcSAR
print(x, ...)
A list consisting of:
number of groups.
vector of each group size.
number of MCMC steps performed.
number of MCMC steps which will be considered as burn-in iterations.
matrix (or list of matrices) containing the simulations.
return value of hyperparms.
acceptance rate of zeta.
proportion of observed network data.
network formation model specification.
input value of formula.
significance level of parameter.
return value of ctrl.mcmc.
arguments passed to methods.
an object of class "mcmcSAR", output of the function mcmcSAR.
(optional, default = 0.95), the significance level of parameter.
(optional) a character that indicate if the simulations from the posterior distribution should be printed
(if plot.type = "sim") or if the posterior distribution densities should be plotted (plot.type = "dens"). The plots can also
done using the method plot.
is the 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.
further arguments passed to or from other methods.
an object of class "summary.mcmcSAR" or "mcmcSAR, output of the functions summary.mcmcSAR and
print.summary.mcmcSAR.
The function is smart and allows all the possible arguments with the functions summary,
plot, par... such as col, lty, mfrow... summary.mcmcSAR,
print.summary.mcmcSAR and print.mcmcSAR can be called by summary or print.