R: Set Default Control Parameters for Metropolis-Hastings...

default.rmhcontrol {spatstat} | R Documentation

## 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.

### 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`.

### Value

An object of class `"rmhcontrol"`. See `rmhcontrol`.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

and Rolf Turner r.turner@auckland.ac.nz

### See Also

`rmhcontrol`, `update.rmhcontrol`, `ppm`, `default.expand`

### Examples

      fit <- ppm(cells, ~1, Strauss(0.1))
      default.rmhcontrol(fit)
      default.rmhcontrol(fit, w=square(2))

[Package spatstat version 1.63-3 Index]