Package: latticeDensity 1.2.7

latticeDensity: Density Estimation and Nonparametric Regression on Irregular Regions

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) <doi:10.1016/j.ecolmodel.2011.02.016>, while the non-parametric regression technique is described in McIntyre and Barry (2018) <doi:10.1080/10618600.2017.1375935>.

Authors:Ronald Barry [aut, cre]

latticeDensity_1.2.7.tar.gz
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latticeDensity_1.2.7.tgz(r-4.6-any)latticeDensity_1.2.7.tgz(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
latticeDensity/json (API)

# Install 'latticeDensity' in R:

install.packages('latticeDensity', repos = c('https://ronbarry.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

areaRegionExample - A region with two holes
nparExample - Example boundary with a grid of locations
polygon1 - Example boundary with causeway

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.51 score 32 scripts 324 downloads 16 exports 57 dependencies

Last updated from:d29318de49. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	179
source / vignettes	OK	415
linux-release	OK	181
macos-release	OK	170
macos-oldrel	OK	223
windows-devel	OK	141
windows-release	OK	136
windows-oldrel	OK	157
wasm-release	OK	185

Exports:addObservations addQuantVar areaRegion createDensity createNparReg crossvalDensity crossvalNparReg deletedResid editLattice formLattice homerange makeTmatrix nodeFilling removeHole Tkp varianceMap

Dependencies:abind backports boot checkmate class classInt coda codetools data.table DBI deldir dotCall64 e1071 Formula generics goftest insight KernSmooth lattice LearnBayes marginaleffects MASS Matrix mgcv multcomp mvtnorm nlme polyclip proxy Rcpp rlang rpart s2 sandwich sf sp spam spatialreg spatstat spatstat.data spatstat.explore spatstat.geom spatstat.linnet spatstat.model spatstat.random spatstat.sparse spatstat.univar spatstat.utils spData spdep splancs survival tensor TH.data units wk zoo

Nonparametric Regression and Density Estimation

Rendered fromlatticeDensity.Rmdusingknitr::rmarkdown

Last update: 2025-07-28
Started: 2018-08-19

Help page	Topics
Input observations for use in the lattice-based density estimator	addObservations
Input data for Nonparametric Regression smoothing.	addQuantVar
Computes area of a region	areaRegion
A region with two holes	areaRegionExample
Generates a density using random walks on a lattice.	createDensity
Performs nonparametric regression on irregular regions.	createNparReg
UBC crossvalidation for the lattice-based density estimator.	crossvalDensity
Crossvalidation for non-parametric regression.	crossvalNparReg
Deleted residuls for non-parametric regression.	deletedResid
Add or remove links in the lattice	editLattice
Builds a neighbor structure on the nodes.	formLattice
Produces a homerange map.	homerange
Create the transition matrix for the diffusion.	makeTmatrix
Produces a grid of locations inside the region boundary.	nodeFilling
Example boundary with a grid of locations	nparExample
Plot the density map	plot.densityOut
Plot the lattice.	plot.formLatticeOutput
Plot a nodeFillingOutput object.	plot.nodeFillingOutput
Plot the non-parametric regression surface.	plot.NparRegOut
Plot the standard error map.	plot.varianceMapOut
Example boundary with causeway	polygon1
Predictions at data locations from lattice-based non-parametric regression.	predict.NparRegOut
Removes holes from the region prior to density estimation.	removeHole
Compute the vector T^k*p	Tkp
Spatial variance for the regression smoother.	varianceMap

Package: latticeDensity 1.2.7

latticeDensity: Density Estimation and Nonparametric Regression on Irregular Regions

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)