The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
Version: | 0.1.0 |
Imports: | nimble, ggplot2, MBA, metR, ggspatial, sf, terra, sp, coda, methods |
Published: | 2025-04-09 |
DOI: | 10.32614/CRAN.package.nimblewomble |
Author: | Aritra Halder [aut, cre], Sudipto Banerjee [aut] |
Maintainer: | Aritra Halder <aritra.halder at drexel.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | nimblewomble results |
Reference manual: | nimblewomble.pdf |
Package source: | nimblewomble_0.1.0.tar.gz |
Windows binaries: | r-devel: nimblewomble_0.1.0.zip, r-release: nimblewomble_0.1.0.zip, r-oldrel: not available |
macOS binaries: | r-devel (arm64): nimblewomble_0.1.0.tgz, r-release (arm64): nimblewomble_0.1.0.tgz, r-oldrel (arm64): nimblewomble_0.1.0.tgz, r-devel (x86_64): nimblewomble_0.1.0.tgz, r-release (x86_64): nimblewomble_0.1.0.tgz, r-oldrel (x86_64): nimblewomble_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=nimblewomble to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.