doi:10.48550/arXiv.2208.12026>.">

kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks (original) (raw)

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 GonzálezORCID iD [aut, cre], Paula Moraga ORCID iD [aut]
Maintainer: Jonatan A González <jonathan.gonzalez at kaust.edu.sa>
License: MIT + file
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: kernstadapt results

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