Package: kernstadapt 0.4.0

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>.

Authors:Jonatan A González [aut, cre], Paula Moraga [aut]

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NEWS

# Install 'kernstadapt' in R:
install.packages('kernstadapt', repos = c('https://jagm03.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jagm03/kernstadapt/issues

Datasets:
  • aegiss - Diggle et al.'s data: Non-specific gastrointestinal data
  • amazon - Locations of fires in the Amazon biome.
  • lGCpp - Simulated spatio-temporal log Gaussian Cox point pattern data
  • santander - Santander earthquakes epicentres

On CRAN:

5.43 score 5 stars 12 scripts 279 downloads 10 exports 26 dependencies

Last updated 2 months agofrom:ba800a02ea. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:bw.abram.netbw.abram.tempdens.directdens.direct.sepdens.net.EqualSplitdens.net.heatdens.pardens.par.sepdens.par.tempseparability.test

Dependencies:abindcodetoolsdeldirdoParallelforeachgoftestiteratorslatticeMatrixmgcvmisc3dnlmepolycliprpartsparrspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor

Adaptive estimation of spatio-temporal intensities using kernstadapt

Rendered fromspatiotemporal_intensity.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2022-09-14
Started: 2022-09-12

Adaptive spatio-temporal intensity by partitioning algorithm

Rendered fromintensity_with_simulation.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2022-09-15
Started: 2022-09-12

Adaptive temporal intensity

Rendered fromtemp_intensity.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2022-09-14
Started: 2022-06-30