plot.lgcpPredict: plot.lgcpPredict function

In lgcp: Log-Gaussian Cox Process

plot.lgcpPredict function

Description

Simple plotting function for objects of class lgcpPredict.

Usage

## S3 method for class 'lgcpPredict'
plot(
  x,
  type = "relrisk",
  sel = 1:x$EY.mean$len,
  plotdata = TRUE,
  ask = TRUE,
  clipWindow = TRUE,
  ...
)

Arguments

x	an object of class lgcpPredict
type	Character string: what type of plot to produce. Choices are "relrisk" (=exp(Y)); "serr" (standard error of relative risk); or "intensity" (=lambda*mu*exp(Y)).
sel	vector of integers between 1 and grid$len: which grids to plot. Default NULL, in which case all grids are plotted.
plotdata	whether or not to overlay the data
ask	logical; if TRUE the user is asked before each plot
clipWindow	whether to plot grid cells outside the observation window
...	additional arguments passed to image.plot

Value

plots the Monte Carlo mean of quantities obtained via simulation. By default the mean relative risk is plotted.

See Also

lgcpPredict

lgcp documentation built on Oct. 3, 2023, 5:08 p.m.