spatstat.core: default.rmhcontrol – R documentation

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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.

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

Examples

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

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2

GPL (>= 2)

Authors

Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]

Initial release

2021-04-17