kernstadapt: Spatio-Temporal Adaptive Kernel Estimators for Intensities

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). <arXiv:2208.12026>.

Version: 0.0.2
Depends: R (≥ 3.5)
Imports: misc3d, sparr, spatstat.explore, spatstat.geom, spatstat.random, spatstat.utils
Suggests: knitr, rmarkdown, ggplot2
Published: 2022-11-15
Author: Jonatan A González ORCID iD [aut, cre], Paula Moraga ORCID iD [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.pdf
Vignettes: st_intensity
spatiotemporal_intenstiy
temp_intensity

Downloads:

Package source: kernstadapt_0.0.2.tar.gz
Windows binaries: r-devel: kernstadapt_0.0.2.zip, r-release: kernstadapt_0.0.1.zip, r-oldrel: kernstadapt_0.0.2.zip
macOS binaries: r-release (arm64): kernstadapt_0.0.2.tgz, r-oldrel (arm64): kernstadapt_0.0.2.tgz, r-release (x86_64): kernstadapt_0.0.2.tgz, r-oldrel (x86_64): kernstadapt_0.0.2.tgz
Old sources: kernstadapt archive

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