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kernstadapt  

Adaptive Kernel Estimators for Point Process Intensities on Linear Networks
View on CRAN: Click here


Download and install kernstadapt package within the R console
Install from CRAN:
install.packages("kernstadapt")

Install from Github:
library("remotes")
install_github("cran/kernstadapt")

Install by package version:
library("remotes")
install_version("kernstadapt", "0.4.0")



Attach the package and use:
library("kernstadapt")
Maintained by
Jonatan A González
[Scholar Profile | Author Map]
First Published: 2022-09-20
Latest Update: 2022-11-15
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 Gonz
How to cite:
Jonatan A González (2022). kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks. R package version 0.4.0, https://cran.r-project.org/web/packages/kernstadapt. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.1 (2022-09-20 10:56), 0.0.2 (2022-11-15 23:50)
Other packages that cited kernstadapt R package
View kernstadapt citation profile
Other R packages that kernstadapt depends, imports, suggests or enhances
Complete documentation for kernstadapt
Functions, R codes and Examples using the kernstadapt R package
Some associated functions: aegiss . amazon . bw.abram.temp . dens.direct . dens.direct.sep . dens.par . dens.par.sep . dens.par.temp . lGCpp . santander . separability.test . 
Some associated R codes: bw.abram.temp.R . checking.R . dens.direct.R . dens.direct.sep.R . dens.par.R . dens.par.sep.R . dens.par.temp.R . separability.test.R .  Full kernstadapt package functions and examples
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