plot_discrete

an object of class "Pred.SDALGCP" obtained as result of a call to <code><a rd-options="" href="/link/SDALGCPPred?package=SDALGCP&version=0.4.0" data-mini-rdoc="SDALGCP::SDALGCPPred">SDALGCPPred</a></code>

Character string: what type of plot to produce. Choices are "incidence" (=exp(mu+S)); "SEincidence" (standard error of incidence); "CovAdjRelRisk" (=exp(S)); or "SECovAdjRelRisk" (standard error of covariate adjusted relative risk);.

type

optional; a logical operation to indicate either to add a base map.

overlay

further arguments passed to <code><a rd-options="" href="/link/plot?package=SDALGCP&version=0.4.0" data-mini-rdoc="SDALGCP::plot">plot</a></code>.

A generic function for mapping spatially discrete prediction for <code><a rd-options="" href="/link/SDALGCPPred?package=SDALGCP&version=0.4.0" data-mini-rdoc="SDALGCP::SDALGCPPred">SDALGCPPred</a></code> function in <a rd-options="" href="/link/SDALGCP?package=SDALGCP&version=0.4.0" data-mini-rdoc="SDALGCP::SDALGCP">SDALGCP</a> package. Not for general purposes

internal

Provides a computationally efficient discrete approximation to log-Gaussian Cox process model for spatially aggregated disease count data. It uses Monte Carlo Maximum Likelihood for model parameter estimation as proposed by Christensen (2004) <doi: 10.1198/106186004X2525> and delivers prediction of spatially discrete and continuous relative risk. It performs inference for static spatial and spatio-temporal dataset. The details of the methods are provided in Johnson et al (2019) <doi:10.1002/sim.8339>.

Olatunji Johnson

SDALGCP

Spatially Discrete Approximation to Log-Gaussian Cox Processes
for Aggregated Disease Count Data

Emanuele Giorgi

Peter Diggle

plot_discrete function

an object of class "Pred.SDALGCP" obtained as result of a call to <code><a rd-options='' href='SDALGCPPred'>SDALGCPPred</a></code>

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

A generic function for mapping spatially discrete prediction for <code><a rd-options='' href='SDALGCPPred'>SDALGCPPred</a></code> function in <a rd-options='' href='SDALGCP'>SDALGCP</a> package. Not for general purposes

plot_discrete: plot_discrete

Description

Usage

Arguments

Value

See Also