Journal article
nimblewomble: An R package for Bayesian Wombling with nimble
The R journal, v 18(2), pp 71-84
16 Jul 2026
Abstract
This exposition presents nimblewomble, a software package to perform wombling, or boundary analysis, using the nimble Bayesian hierarchical modeling language in the R statistical computing 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.
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Details
- Title
- nimblewomble: An R package for Bayesian Wombling with nimble
- Creators
- Aritra Halder - Department of Biostatistics & EpidemiologySudipto Banerjee - Department of Biostatistics
- Publication Details
- The R journal, v 18(2), pp 71-84
- Publisher
- The R Foundation
- Grant note
- AH acknowledges funding from the National Science Foundation, Division of Mathematical Sciences (DMS 2515897), the National Institutes of Health, National Institute of Environmental Health Sciences (R56 ES036250, R21 CA305033), and institutional funds at the Dornsife School of Public Health and the Urban Health Collaborative at Drexel University. SB acknowledges funding from the National Science Foundation, Division of Mathematical Sciences (DMS 2515898), and the National Institute of Health, National Institute of General Medical Sciences (R01 GM148761)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Other Identifier
- 991022202555504721