make.eval.set: Creating an evaluation dataset for fitting

In obrady/SpatialDengue: Fits and simulates a spatial model of the vector-borne disease dengue

Description

Processes the case data to generate a list of metrics required for different aspects of evaluating model fit

Usage

make.eval.set(fitdat, weekdates, unipix)

Arguments

fitdat	Casedata, see ?sgdat for format
weekdates	Two element vector of the start and end weeks of the simulation over which the mdoel will be evaluated over
unipix	Universal pixel lookup table, see ?make.unipix

Details

returns a list with three elements: i) weekly detialed number of cases per patch, ii) Moran's weights for each pixel (for calculating Morans I) iii) Weekly cumulative total cases

Examples

data(sgdat)
data(sgpop)
sgpop <- pop.process(sgpop, agg = 10)
unipix <- make.unipix(sgpop)
sgdat <- data.frame(sgdat, patchID = apply(cbind(sgdat[, 3:2]), 1, pix.id.find, unipix))
EvalSet <- make.eval.set(sgdat, weekdates = c(40, 92), unipix)
summary(EvalSet)

obrady/SpatialDengue documentation built on Nov. 27, 2020, 12:13 p.m.