deletedResid: Deleted residuls for non-parametric regression.

In latticeDensity: Density Estimation and Nonparametric Regression on Irregular Regions

Description

Computes deleted residuals for the lattice-based non-parametric regression estimator.

Usage

deletedResid(formLatticeOutput, Z, PointPattern, M = 0.5, k)

Arguments

formLatticeOutput	An object from formLattice or editLattice.
Z	Vector of response values.
PointPattern	2-column matrix or data frame of locations.
M	Maximum probability that the random walk moves.
k	Number of steps in random walk.

Value

A vector of deleted residuals.

Author(s)

Ronald P. Barry

References

Ronald P. Barry, Julie McIntyre. Estimating animal densities and home range in regions with irregular boundaries and holes: A lattice-based alternative to the kernel density estimator. Ecological Modelling 222 (2011) 1666-1672.

Julie McIntyre, Ronald P. Barry (2018) A Lattice-Based Smoother for Regions with Irregular Boundaries and Holes. Journal of Computational and Graphical Statistics. <doi:10.1080/10618600.2017.1375935>

Examples

data(nparExample)
attach(nparExample)
plot.new()
#  Simulate a response variable
index1 <- (grid2[,2]<0.8)|(grid2[,1]>0.6)
Z <- rep(NA,length(grid2[,1]))
n1 <- sum(index1)
n2 <- sum(!index1)
Z[index1] <- 3*grid2[index1,1] + 4 + rnorm(n1,0,sd=0.4)
Z[!index1] <- -2*grid2[!index1,1] + 4 + rnorm(n2,0,sd=0.4)
#
plot(polygon2,type="n")
polygon(polygon2)
points(grid2,pch=19,cex=0.5,xlim=c(-0.1,1))
text(grid2,labels=round(Z,1),pos=4,cex=0.5)
#
nodeFillingOutput <- nodeFilling(poly=polygon2, node_spacing=0.025)
plot(nodeFillingOutput)
formLatticeOutput <- formLattice(nodeFillingOutput)
plot(formLatticeOutput)
hold <- crossvalNparReg(formLatticeOutput,Z,
                       PointPattern=grid2,M=0.5,max_steps = 40)
deletedResid(formLatticeOutput,Z,
             PointPattern=grid2,M=0.5,k=hold$k)

latticeDensity documentation built on April 18, 2021, 5:06 p.m.