Package: kernstadapt
Title: Adaptive Kernel Estimators for Point Process Intensities on
        Linear Networks
Version: 0.4.0
Authors@R: c(
    person("Jonatan A", "González", , "jonathan.gonzalez@kaust.edu.sa", 
            role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2296-5271")),
    person("Paula", "Moraga", , "paula.moraga@kaust.edu.sa", 
            role = c("aut"), comment = c(ORCID = "0000-0001-5266-0201"))   
            )
Maintainer: Jonatan A González <jonathan.gonzalez@kaust.edu.sa>
Description: 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>.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: misc3d, sparr, spatstat.explore, spatstat.univar,
        spatstat.geom, spatstat.random, spatstat.utils, spatstat.linnet
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Depends: R (>= 4.0)
Repository: https://jagm03.r-universe.dev
Date/Publication: 2024-09-25 16:47:30 UTC
RemoteUrl: https://github.com/jagm03/kernstadapt
RemoteRef: HEAD
RemoteSha: ba800a02eab63be0ead14d7eb0a7b6882a37a39e
NeedsCompilation: no
Packaged: 2026-10-08 09:24:16 UTC; root
Author: Jonatan A González [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2296-5271>),
  Paula Moraga [aut] (ORCID: <https://orcid.org/0000-0001-5266-0201>)