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

Aggregated_poisson_log_MCMLAggregated_poisson_log_MCML function
confint.SDALGCPConfidence Intervals for SDALGCP Model Parameters
controlmcmcSDAcontrol.mcmcSDA
PBCshpPBC count data and index of multiple deprivation data.
phiCIPlot of the deviance to derive the confidence interval of of...
plot_continuousplot_continuous
plot_continuousSTplot_continuous
plot_discreteplot_discrete
plot_discreteSTplot_discrete
plot.Pred.SDALGCPplot.Pred.SDALGCP function
plot.Pred.SDALGCPSTplot.Pred.SDALGCPST function
plot_SDALGCPexceedanceplot_SDALGCPexceedance
plot_SDALGCPexceedanceSTplot_SDALGCPexceedance
pop_denPopulation density raster shapefile of Newcastle Upon Tyne in...
precomputeCorrMatrixprecomputeCorrMatrix function
SDAContinuousPredSDAContinuousPred function
SDADiscretePredSDADiscretePred function
SDALGCPSDALGCP: A package to make continuous inference from...
SDALGCPCreatePointSDALGCPCreatePoint function
SDALGCPexceedanceExceedance probability of the relative risk
SDALGCPexceedanceSTExceedance probability of the relative risk
SDALGCPMCMLParameter estimation for SDA-LGCP Using Monte Carlo Maximum...
SDALGCPMCML_STParameter estimation for spatio-temporal SDA-LGCP Using Monte...
SDALGCPMCML_ST2Parameter estimation for spatio-temporal SDA-LGCP Using Monte...
SDALGCPParaEstSDALGCPParaEst function.
SDALGCPpolygonpointsSDALGCPpolygonpoints function
SDALGCPPredSpatial prediction using plug-in of MCML estimates
SDALGCPPred_STSpatial prediction using plug-in of MCML estimates
SDALGCPPred_ST2Spatial prediction using plug-in of MCML estimates
SDALGCPRegularPointSDALGCPRegularPoint function
SDALGCPSSIPointSDALGCPSSIPoint function
SDALGCPUniformPointSDALGCPUniformPoint function
SDAProfilePhiplot profile likelihood of phi
summary.SDALGCPSummarizing the parameter estimates of SDALGCP model
summary.SDALGCPSTSummarizing the parameter estimates of SDALGCP model
SDALGCP documentation built on March 17, 2021, 1:07 a.m.