Package: ISPAT3D
Type: Package
Title: Spatial Conditional Association Networks in Registered Tumor
        Volumes
Version: 0.3.1
Authors@R: person("Sagnik", "Bhadury", email = "bhadury@umich.edu",
    role = c("aut", "cre"))
Description: Fits tumor-zone-specific conditional cell-density networks
        from registered three-dimensional multiplex imaging. An
        anisotropic Matern-3/2 Gaussian process is estimated per
        variable and zone using a Vecchia likelihood on spatially
        balanced anchors; predictions at all selected cells yield
        residual covariance sufficient statistics. Gaussian maximum
        likelihood then fits a shared-plus-zone factor covariance
        model. A matched section-wise planar fit uses the same selected
        cells and covariance estimator. This extends the spatially
        informed cell-density analysis of Bhadury et al. (2026)
        <doi:10.1038/s41598-026-35341-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gpboost, graphics, stats, utils
Suggests: data.table, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sagnikbhadury/ISPAT-3D
BugReports: https://github.com/sagnikbhadury/ISPAT-3D/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Repository: https://sagnikbhadury.r-universe.dev
Date/Publication: 2026-09-16 15:48:40 UTC
RemoteUrl: https://github.com/sagnikbhadury/ispat-3d
RemoteRef: HEAD
RemoteSha: 18626f049d2d27a4f52341b2c7d734f76b4393ae
NeedsCompilation: no
Packaged: 2026-09-28 10:50:36 UTC; root
Author: Sagnik Bhadury [aut, cre]
Maintainer: Sagnik Bhadury <bhadury@umich.edu>