DESCRIPTION

Package: lisaClust
Type: Package
Title: lisaClust: Clustering of Local Indicators of Spatial Association
Version: 1.15.6
Authors@R: c(
    person("Ellis", "Patrick", , "ellis.patrick@sydney.edu.au", role = c("aut", "cre")),
    person("Nicolas", "Canete", , "nicolas.canete@sydney.edu.au", role = "aut"),
    person("Nicholas", "Robertson", , "nicholas.robertson@sydney.edu.au", role = "ctb"),
    person("Alex", "Qin", , "alex.qin@sydney.edu.au", role = "ctb"),
    person("Shreya", "Rao", "shreya.rajeshrao@sydney.edu.au", role = "ctb")
  )
Description: lisaClust provides a series of functions to identify and visualise 
    regions of tissue where spatial associations between cell-types is similar.
    This package can be used to provide a high-level summary of cell-type 
    colocalization in multiplexed imaging data that has been segmented at a 
    single-cell resolution.
License: GPL (>=2)
biocViews: 
    SingleCell, CellBasedAssays, Spatial
Encoding: UTF-8
Depends: R (>= 4.0)
VignetteBuilder: knitr
BugReports: https://github.com/ellispatrick/lisaClust/issues
URL: https://ellispatrick.github.io/lisaClust/, https://github.com/ellispatrick/lisaClust
Imports: 
    ggplot2,
    class,
    concaveman,
    grid,
    BiocParallel,
    spatstat.explore,
    spatstat.geom,
    BiocGenerics,
    S4Vectors,
    methods,
    spicyR,
    purrr,
    stats,
    data.table,
    dplyr,
    tidyr,
    SingleCellExperiment,
    SpatialExperiment,
    SummarizedExperiment,
    pheatmap,
    spatstat.random,
    lifecycle,
    simpleSeg,
    rlang,
Suggests: 
    SpatialDatasets,
    BiocStyle,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
RoxygenNote: 7.3.2
Config/testthat/edition: 3