Package: panoramic
Title: Variance-Aware Multi-Sample Spatial Colocalization Analysis
Version: 0.99.4
Authors@R: person("Jacob", "Chang", email = "jachang4@stanford.edu", role = c("aut", "cre", "fnd"), comment = c(ORCID = "0000-0002-3719-7949"))
Description: Quantifies and compares cell-type spatial colocalization
    across samples, patients, and conditions in spatial omics studies.
    Its primary statistic, edge-corrected local competition enrichment,
    measures excess or deficit local mixing for ordered cell-type pairs on a
    percentage-point scale. The package estimates within-sample uncertainty
    with spatial bootstrap procedures and propagates it through multilevel
    random-effects meta-analysis for pooled inference and group-level
    contrasts; classical spatial summary statistics are also supported.
URL: https://github.com/plevritis-lab/panoramic
BugReports: https://github.com/plevritis-lab/panoramic/issues
License: MIT + file LICENSE
Depends: R (>= 4.6)
Imports: dplyr, ggplot2, ggrepel, igraph, tidygraph, ggraph, rlang,
        S4Vectors, SummarizedExperiment, spatstat.geom,
        spatstat.explore, BiocParallel, SpatialExperiment, concaveman,
        metafor, withr, matrixStats
Suggests: knitr, markdown, rmarkdown, BiocStyle, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
biocViews: Software, Spatial, SingleCell
git_url: https://git.bioconductor.org/packages/panoramic
git_branch: devel
git_last_commit: d45f4c8
git_last_commit_date: 2026-09-28
Repository: Bioconductor 3.24
Date/Publication: 2026-09-29
NeedsCompilation: no
Packaged: 2026-09-30 00:25:54 UTC; biocbuild
Author: Jacob Chang [aut, cre, fnd] (ORCID:
    <https://orcid.org/0000-0002-3719-7949>)
Maintainer: Jacob Chang <jachang4@stanford.edu>
