Package: spicyR
Type: Package
Title: Spatial analysis of in situ cytometry data
Version: 1.16.0
Authors@R: c(person("Nicolas", "Canete", email = "nicolas.canete@sydney.edu.au",
    role = c("aut")),
    person("Ellis", "Patrick", email = "ellis.patrick@sydney.edu.au",
    role = c("aut", "cre")))
Description: The spicyR package provides a framework for performing inference on changes in spatial relationships between pairs of cell types for cell-resolution spatial omics technologies. spicyR consists of three primary steps: (i) summarizing the degree of spatial localization between pairs of cell types for each image; (ii) modelling the variability in localization summary statistics as a function of cell counts and (iii) testing for changes in spatial localizations associated with a response variable.  
License: GPL (>=2)
LazyData: true
biocViews: SingleCell, CellBasedAssays, Spatial
Encoding: UTF-8
Depends: R (>= 4.1)
VignetteBuilder: knitr
BugReports: https://github.com/SydneyBioX/spicyR/issues
URL: https://ellispatrick.github.io/spicyR/
        https://github.com/SydneyBioX/spicyR
Imports: ggplot2, concaveman, BiocParallel, spatstat.explore,
        spatstat.geom, lmerTest, BiocGenerics, S4Vectors, methods,
        mgcv, pheatmap, rlang, grDevices, IRanges, stats, data.table,
        dplyr, tidyr, scam, SingleCellExperiment, SpatialExperiment,
        SummarizedExperiment, ggforce, ClassifyR, tibble
Suggests: BiocStyle, knitr, rmarkdown, pkgdown, imcRtools
RoxygenNote: 7.2.3
git_url: https://git.bioconductor.org/packages/spicyR
git_branch: RELEASE_3_19
git_last_commit: 63a5e64
git_last_commit_date: 2024-04-30
Repository: Bioconductor 3.19
Date/Publication: 2024-05-01
NeedsCompilation: no
Packaged: 2024-05-01 23:42:57 UTC; biocbuild
Author: Nicolas Canete [aut],
  Ellis Patrick [aut, cre]
Maintainer: Ellis Patrick <ellis.patrick@sydney.edu.au>
