plot.pred.PrevMap.ps

a integer value indicating the predictive target: <code>target=1</code> to visualize summaries of the surface associated with the response variable;
<code>target=2</code> to visualize summaries of the surface associated with the sampling intensity. If only one target has been predicted, this argument is ignored.

target

character indicating which summary to display: 'predictions','quantiles' or 'standard.errors'. Default is <code>summary='predictions'</code>. If <code>summary="exceedance.prob"</code>, the argument <code>type</code> is ignored.

summary

further arguments passed to <code><a rd-options="" href="/link/plot?package=PrevMap&version=1.5.4" data-mini-rdoc="PrevMap::plot">plot</a></code> of the 'raster' package.

<code>plot.pred.PrevMap.ps</code> displays predictions obtained from <code><a rd-options="" href="/link/lm.ps.MCML?package=PrevMap&version=1.5.4" data-mini-rdoc="PrevMap::lm.ps.MCML">lm.ps.MCML</a></code>.

Provides functions for both likelihood-based
and Bayesian analysis of spatially referenced prevalence data. For a tutorial on the use of the R package, see Giorgi and Diggle (2017) <doi:10.18637/jss.v078.i08>.

Emanuele Giorgi

PrevMap

Geostatistical Modelling of Spatially Referenced Prevalence Data

plot.pred.PrevMap.ps function

further arguments passed to <code><a rd-options='' href='plot'>plot</a></code> of the 'raster' package.

<code>plot.pred.PrevMap.ps</code> displays predictions obtained from <code><a rd-options='' href='lm.ps.MCML'>lm.ps.MCML</a></code>.

plot.pred.PrevMap.ps: Plot of a predicted surface of geostatistical linear fits with preferentially sampled locations

Description

Usage

Arguments