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latticeDensity (version 1.2.6)

Density Estimation and Nonparametric Regression on Irregular Regions

Description

Functions that compute the lattice-based density estimator of Barry and McIntyre, which accounts for point processes in two-dimensional regions with irregular boundaries and holes. The package also implements two-dimensional non-parametric regression for similar regions.

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Version

Install

install.packages('latticeDensity')

Monthly Downloads

168

Version

1.2.6

License

GPL-2

Maintainer

Ronald Barry

Last Published

April 18th, 2021

Functions in latticeDensity (1.2.6)

crossvalDensity

UBC crossvalidation for the lattice-based density estimator.

Generates a density using random walks on a lattice.

areaRegionExample

A region with two holes

Computes area of a region

Deleted residuls for non-parametric regression.

crossvalNparReg

Crossvalidation for non-parametric regression.

Performs nonparametric regression on irregular regions.

Compute the vector T^k*p

Input data for Nonparametric Regression smoothing.

Add or remove links in the lattice

Produces a homerange map.

Create the transition matrix for the diffusion.

plot.varianceMapOut

Plot the standard error map.

Example boundary with causeway

plot.densityOut

Plot the density map

plot.NparRegOut

Plot the non-parametric regression surface.

plot.formLatticeOutput

Plot the lattice.

plot.nodeFillingOutput

Plot a nodeFillingOutput object.

Spatial variance for the regression smoother.

addObservations

Input observations for use in the lattice-based density estimator

Builds a neighbor structure on the nodes.

predict.NparRegOut

Predictions at data locations from lattice-based non-parametric regression.

Produces a grid of locations inside the region boundary.

Removes holes from the region prior to density estimation.

Example boundary with a grid of locations