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kernstadapt: Adaptive Kernel Estimators for Point Process Intensities onLinear 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 GonzálezORCID iD [aut, cre], Paula MoragaORCID iD [aut]
Maintainer:Jonatan A González <jonathan.gonzalez at kaust.edu.sa>
License:MIT + fileLICENSE
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=kernstadaptto link to this page.


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