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Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>, further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>.
| Version: | 0.2.6 |
| Depends: | R (≥ 4.0.0), nimble |
| Imports: | sp, sf, spdep, MASS, raster, dplyr, tidyr, ggplot2, reshape2, coda, BiasedUrn, stats, utils, grDevices, methods |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-02-14 |
| DOI: | 10.32614/CRAN.package.spatialAtomizeR |
| Author: | Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] (Contributed to the project conceptualization and manuscript), Nykesha Johnson [ctb] (Contributed to the project conceptualization and manuscript) |
| Maintainer: | Yunzhe Qian <qyzanemos at gmail.com> |
| BugReports: | https://github.com/bellayqian/spatialAtomizeR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/bellayqian/spatialAtomizeR |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | spatialAtomizeR results |
| Reference manual: | spatialAtomizeR.html , spatialAtomizeR.pdf |
| Vignettes: |
Getting Started with spatialAtomizeR (source, R code) |
| Package source: | spatialAtomizeR_0.2.6.tar.gz |
| Windows binaries: | r-devel: spatialAtomizeR_0.2.6.zip, r-release: spatialAtomizeR_0.2.6.zip, r-oldrel: spatialAtomizeR_0.2.6.zip |
| macOS binaries: | r-release (arm64): spatialAtomizeR_0.2.6.tgz, r-oldrel (arm64): spatialAtomizeR_0.2.6.tgz, r-release (x86_64): spatialAtomizeR_0.2.6.tgz, r-oldrel (x86_64): spatialAtomizeR_0.2.6.tgz |
| Old sources: | spatialAtomizeR archive |
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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.