plot.ergmito: Function to visualize the optimization surface

Description

General diagnostics function. This function allows to visualize the surface to be maximize at around a particular point.

Usage

# S3 method for ergmito
plot(
  x,
  y = NULL,
  domain = NULL,
  plot. = TRUE,
  par_args = list(),
  image_args = list(),
  breaks = 20L,
  extension = 4L,
  params_labs = stats::setNames(names(coef(x)), names(coef(x))),
  ...
)

Value

A list of length choose(length(object$coef), 2) (all possible combinations of pairs of parameters), each with the following elements:

z A matrix
z A vector
y A vector
xlab A string. Name of the ERGM parameter in the x-axis.
ylab A string. Name of the ERGM parameter in the y-axis.

The list is returned invisible.

Arguments

x: An object of class ergmito.
y, ...: Ignored.
domain: A list.
plot.: Logical. When TRUE (default), the function will call graphics::image and plot all possible combination of parameters.
par_args: Further arguments to be passed to graphics::par
image_args: Further arguments to be passed to graphics::image
breaks: Integer scalar. Number of splits per dimension.
extension: Numeric. Range value of the function.
params_labs: Named vector. Alternative labels for the parameters. It should be in the form of c("orignial name" = "new name").

Details

It calculates the surface coordinates for each pair of parameters included in the ERGMito.

Examples

Run this code


set.seed(12)
x <- rbernoulli(c(4, 4, 5))

ans <- ergmito(x ~ edges + balance)

plot(ans)