simulateBetas: Estimate Confidence Intervals (CI) for Beta Values in Linear...

In nmmarquez/PointPolygon: Evaluate Point and Polygon Data Simulatneously

Description

Calculate the mean, 95 deviation of an estimated beta coefficient.

Usage

simulateBetas(field, modelFit, draws = 1000)

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

Value

data.frame, mean, sd and true value 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(simulateBetas(unitSim, unitFit))


## End(Not run)

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