simulateFieldCI: Estimate Confidence Intervals (CI) for Probability Field Via...

In nmmarquez/PointPolygon: Evaluate Point and Polygon Data Simulatneously

Description

Calculate the mean, 95 deviation of an estimated probability field from a model.

Usage

simulateFieldCI(field, modelFit, draws = 1000, chain = 1)

Arguments

field	field object which simulated underlying data
modelFit	fitted model object from the field
draws	int, number of draws for simulation to calculate CI's
chain	int, the chain to use if drawing inference from MCMC model

Value

data.frame, mean, CI, and sd of underlying field.

Examples

## Not run: 

unitSim <- simField(
N = 200, rangeE = .7,
offset = c(0.1, 0.2), 
max.edge = c(0.1,0.2),
beta0 = -2,
betaList = list(
    list(type="random", value=2),
    list(type="spatial", value=-.5),
    list(type="cluster", value=-2)
))

pointDF <- samplePoints(unitSim, 500, 100)

unitFit <- runFieldModel(unitSim, pointDF)

head(simulateFieldCI(unitSim, unitFit))


## End(Not run)

nmmarquez/PointPolygon documentation built on Dec. 10, 2020, 1:15 a.m.