Package: spatialAtomizeR
Type: Package
Title: Spatial Analysis with Misaligned Data Using Atom-Based
        Regression Models
Version: 0.2.8
Date: 2026-03-24
Authors@R: c(
    person("Yunzhe", "Qian", email = "qyzanemos@gmail.com", role = c("aut", "cre")),
    person("Rachel", "Nethery", email = "rnethery@hsph.harvard.edu", role = "aut"),
    person("Nancy", "Krieger", role = "ctb",
           comment = "Contributed to the project conceptualization and manuscript"),
    person("Nykesha", "Johnson", role = "ctb",
           comment = "Contributed to the project conceptualization and manuscript")
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: nimble, sp, sf, spdep, MASS, dplyr, tidyr, ggplot2, reshape2,
        coda, BiasedUrn, stats, utils, grDevices, methods, raster
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tigris
VignetteBuilder: knitr
URL: https://github.com/bellayqian/spatialAtomizeR
BugReports: https://github.com/bellayqian/spatialAtomizeR/issues
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-03-24 19:46:38 UTC; anemos
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@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 20:10:03 UTC
Built: R 4.7.0; ; 2026-04-26 04:51:01 UTC; windows
