Simple plotting function for both discrete and continuous prediction from the object of class "Pred.SDALGCPST".
# S3 method for Pred.SDALGCPST
plot(
x,
type = "relrisk",
continuous = NULL,
thresholds = NULL,
bound = NULL,
overlay = FALSE,
...
)an object of class "Pred.SDALGCPST" obtained as result of a call to SDALGCPPred_ST.
Character string: what type of plot to produce. For discrete inference choices are "incidence" (=exp(mu+S)); "SEincidence" (standard error of incidence); "CovAdjRelRisk" (=exp(S)); or "SECovAdjRelRisk" (standard error of covariate adjusted relative risk); while for continuous inference, choices are "relrisk" (=exp(S)); "SErelrisk" (standard error of the relative risk).
logical; TRUE for spatially continuous relative risk and FALSE for region specific relative risk. default is TRUE
optional; (only used if you want to plot the exceedance probability) either a vector of numbers or a vector of single value.
optional; it gives the boundary of the region, only useful when the predictive location is supplied in SDALGCPPred_ST
optional; a logical operation to indicate either to add a base map.
further arguments passed to plot.
The function does not return any value.
This function plots the inference from SDALGCPPred function. It plots for region-specific inference; incidence and covariate adjusted relative risk while for spatially continuous inference it plots the relative risk. It can as well plot the exceedance probability for spatially discrete and continuous inference.
SDALGCPPred_ST, plot_continuousST, plot_discreteST, plot_SDALGCPexceedanceST, SDALGCPexceedanceST
# NOT RUN {
# check vignette for examples
# }
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