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

## Documentation for package ‘SDALGCP’ version 0.3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## 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