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) . 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 NeedsCompilation: no Packaged: 2026-09-27 18:39:09 UTC; root Author: Sagnik Bhadury [aut, cre] Maintainer: Sagnik Bhadury Repository: https://cran.r-universe.dev Date/Publication: 2026-09-27 16:40:37 UTC RemoteUrl: https://github.com/cran/ISPAT3D RemoteRef: HEAD RemoteSha: 4bdee8cad8611848f11492d616c59438234e7dd5