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DRHotNet  

Differential Risk Hotspots in a Linear Network
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DRHotNet", "2.3")



Attach the package and use:
library("DRHotNet")
Maintained by
Alvaro Briz-Redon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-14
Latest Update: 2023-07-16
Description:
Performs the identification of differential risk hotspots (Briz-Redon et al. 2019) along a linear network. Given a marked point pattern lying on the linear network, the method implemented uses a network-constrained version of kernel density estimation (McSwiggan et al. 2017) to approximate the probability of occurrence across space for the type of event specified by the user through the marks of the pattern (Kelsall and Diggle 1995) . The goal is to detect microzones of the linear network where the type of event indicated by the user is overrepresented.
How to cite:
Alvaro Briz-Redon (2019). DRHotNet: Differential Risk Hotspots in a Linear Network. R package version 2.3, https://cran.r-project.org/web/packages/DRHotNet. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0 (2019-06-14 14:00), 1.1 (2019-09-16 01:10), 1.2 (2020-05-14 01:40), 1.3 (2021-03-18 00:10), 2.0 (2021-07-01 20:00), 2.1 (2022-11-20 12:30), 2.2 (2023-02-09 18:30)
Other packages that cited DRHotNet R package
View DRHotNet citation profile
Other R packages that DRHotNet depends, imports, suggests or enhances
Complete documentation for DRHotNet
Functions, R codes and Examples using the DRHotNet R package
Some associated functions: NeighbourhoodMatrixNetwork . SampleMarkedPattern . drhot . drsens . drsummary . plothot . plotrelp . relpnet . 
Some associated R codes: AuxiliaryFunctions.R . ImportPackages.R . NeighbourhoodMatrixNetwork.R . data.R . drhot.R . drsens.R . drsummary.R . plothot.R . plotrelp.R . relpnet.R .  Full DRHotNet package functions and examples
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