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nimblewomble  

Bayesian Wombling using 'nimble'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nimblewomble", "0.1.0")



Attach the package and use:
library("nimblewomble")
Maintained by
Aritra Halder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-09
Latest Update: 2025-04-09
Description:
A software package to perform Wombling, or boundary analysis, using the 'nimble' Bayesian hierarchical modeling environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. For more details on wombling please see, Banerjee and Gelfand (2006) <doi:10.1198/016214506000000041> and Halder, Banerjee and Dey (2024) <doi:10.1080/01621459.2023.2177166>.
How to cite:
Aritra Halder (2025). nimblewomble: Bayesian Wombling using 'nimble'. R package version 0.1.0, https://cran.r-project.org/web/packages/nimblewomble. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using the nimblewomble R package
Full nimblewomble package functions and examples
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