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colocalization  

Normalized Spatial Intensity Correlation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("colocalization", "1.0.2")



Attach the package and use:
library("colocalization")
Maintained by
Hui Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-17
Latest Update: 2020-09-21
Description:
Calculate the colocalization index, NSInC, in two different ways as described in the paper (Liu et al., 2019. Manuscript submitted for publication.) for multiple-species spatial data which contain the precise locations and membership of each spatial point. The two main functions are nsinc.d() and nsinc.z(). They provide the Pearson
How to cite:
Hui Zhang (2018). colocalization: Normalized Spatial Intensity Correlation. R package version 1.0.2, https://cran.r-project.org/web/packages/colocalization. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 1.0.0 (2018-05-17 10:11), 1.0.1 (2019-10-30 23:40)
Other packages that cited colocalization R package
View colocalization citation profile
Other R packages that colocalization depends, imports, suggests or enhances
Complete documentation for colocalization
Functions, R codes and Examples using the colocalization R package
Some associated functions: nsincd . nsincz . plot.colocal . summary.colocal . twolines . 
Some associated R codes: nsinc.d.R . nsinc.z.R . plot.R . summary.R .  Full colocalization package functions and examples
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