Learn R Programming

spatstat.core (version 2.3-1)

default.rmhcontrol: Set Default Control Parameters for Metropolis-Hastings Algorithm.

Description

Given a fitted point process model, this command sets appropriate default values of the parameters controlling the iterative behaviour of the Metropolis-Hastings algorithm.

Usage

default.rmhcontrol(model, w=NULL)

Arguments

model

A fitted point process model (object of class "ppm")

w

Optional. Window for the resulting simulated patterns.

Value

An object of class "rmhcontrol". See rmhcontrol.

Details

This function sets the values of the parameters controlling the iterative behaviour of the Metropolis-Hastings simulation algorithm. It uses default values that would be appropriate for the fitted point process model model.

The expansion parameter expand is set to default.expand(model, w).

All other parameters revert to their defaults given in rmhcontrol.default.

See rmhcontrol for the full list of control parameters. To override default parameters, use update.rmhcontrol.

See Also

rmhcontrol, update.rmhcontrol, ppm, default.expand

Examples

Run this code
# NOT RUN {
  fit <- ppm(cells, ~1, Strauss(0.1))
  default.rmhcontrol(fit)
  default.rmhcontrol(fit, w=square(2))
# }

Run the code above in your browser using DataLab