kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). <doi:10.48550/arXiv.2208.12026>.

Version:	0.4.0
Depends:	R (≥ 4.0)
Imports:	misc3d, sparr, spatstat.explore, spatstat.univar, spatstat.geom, spatstat.random, spatstat.utils, spatstat.linnet
Suggests:	knitr, rmarkdown, ggplot2
Published:	2024-09-26
DOI:	10.32614/CRAN.package.kernstadapt
Author:	Jonatan A González [aut, cre], Paula Moraga [aut]
Maintainer:	Jonatan A González <jonathan.gonzalez at kaust.edu.sa>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	kernstadapt results

Documentation:

Reference manual:	kernstadapt.html , kernstadapt.pdf
Vignettes:	st_intensity (source, R code) spatiotemporal_intenstiy (source, R code) temp_intensity (source, R code)

Downloads:

Package source:	kernstadapt_0.4.0.tar.gz
Windows binaries:	r-devel: kernstadapt_0.4.0.zip, r-release: kernstadapt_0.4.0.zip, r-oldrel: kernstadapt_0.4.0.zip
macOS binaries:	r-release (arm64): kernstadapt_0.4.0.tgz, r-oldrel (arm64): kernstadapt_0.4.0.tgz, r-release (x86_64): kernstadapt_0.4.0.tgz, r-oldrel (x86_64): kernstadapt_0.4.0.tgz
Old sources:	kernstadapt archive

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