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


[Up] [Top]

Documentation for package ‘SDALGCP’ version 0.4.0

Help Pages

confint.SDALGCP Confidence Intervals for SDALGCP Model Parameters
controlmcmcSDA control.mcmcSDA
PBCshp PBC count data and index of multiple deprivation data.
phiCI Plot of the deviance to derive the confidence interval of of the scale parameter, phi
plot.Pred.SDALGCP plot.Pred.SDALGCP function
plot.Pred.SDALGCPST plot.Pred.SDALGCPST function
pop_den Population density raster shapefile of Newcastle Upon Tyne in the UK.
SDALGCP SDALGCP: A package to make continuous inference from spatially aggregated disease count data.
SDALGCPMCML Parameter estimation for SDA-LGCP Using Monte Carlo Maximum likelihood
SDALGCPMCML_ST Parameter estimation for spatio-temporal SDA-LGCP Using Monte Carlo Maximum likelihood
SDALGCPMCML_ST2 Parameter estimation for spatio-temporal SDA-LGCP Using Monte Carlo Maximum likelihood
SDALGCPPred Spatial prediction using plug-in of MCML estimates
SDALGCPPred_ST Spatial prediction using plug-in of MCML estimates
SDALGCPPred_ST2 Spatial prediction using plug-in of MCML estimates
SDAProfilePhi plot profile likelihood of phi
summary.SDALGCP Summarizing the parameter estimates of SDALGCP model
summary.SDALGCPST Summarizing the parameter estimates of SDALGCP model