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latticeDensity (version 1.2.7)

Density Estimation and Nonparametric Regression on Irregular Regions

Description

Functions that compute the lattice-based density and regression estimators for two-dimensional regions with irregular boundaries and holes. The density estimation technique is described in Barry and McIntyre (2011) , while the non-parametric regression technique is described in McIntyre and Barry (2018) .

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Version

Install

install.packages('latticeDensity')

Monthly Downloads

122

Version

1.2.7

License

GPL-2

Maintainer

Ronald Barry

Last Published

July 28th, 2025

Functions in latticeDensity (1.2.7)

plot.nodeFillingOutput

Plot a nodeFillingOutput object.

Example boundary with a grid of locations

Create the transition matrix for the diffusion.

Removes holes from the region prior to density estimation.

predict.NparRegOut

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

Example boundary with causeway

plot.varianceMapOut

Plot the standard error map.

Spatial variance for the regression smoother.

areaRegionExample

A region with two holes

Compute the vector T^k*p

Generates a density using random walks on a lattice.

crossvalDensity

UBC crossvalidation for the lattice-based density estimator.

crossvalNparReg

Crossvalidation for non-parametric regression.

Deleted residuls for non-parametric regression.

addObservations

Input observations for use in the lattice-based density estimator

Performs nonparametric regression on irregular regions.

Input data for Nonparametric Regression smoothing.

Computes area of a region

plot.formLatticeOutput

Plot the lattice.

Add or remove links in the lattice

plot.densityOut

Plot the density map

Produces a homerange map.

Produces a grid of locations inside the region boundary.

Builds a neighbor structure on the nodes.

plot.NparRegOut

Plot the non-parametric regression surface.