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spatialFDA

A Tool for Spatial Multi-sample Comparisons

Bioconductor version: 3.23 · Package version: 1.4.0

spatialFDA is a package to calculate spatial statistics metrics. The package takes a SpatialExperiment object and calculates spatial statistics metrics using the package spatstat. Then it compares the resulting functions across samples/conditions using functional additive models as implemented in the package refund. Furthermore, it provides exploratory visualisations using functional principal component analysis, as well implemented in refund.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("spatialFDA")

Details

MaintainerMartin Emons <martin.emons@uzh.ch>
AuthorMartin Emons [aut, cre] (ORCID: <https://orcid.org/0009-0000-5219-5311>), Samuel Gunz [aut] (ORCID: <https://orcid.org/0000-0002-8909-0932>), Fabian Scheipl [aut] (ORCID: <https://orcid.org/0000-0001-8172-3603>), Elizabeth Purdom [aut] (ORCID: <https://orcid.org/0000-0001-9455-7990>), Mark D. Robinson [aut, fnd] (ORCID: <https://orcid.org/0000-0002-3048-5518>)
LicenseGPL (>= 3) + file LICENSE
URLhttps://github.com/mjemons/spatialFDA
Bug Reportshttps://github.com/mjemons/spatialFDA/issues
Downloads rank197
Source branchRELEASE_3_23
biocViewsSoftware, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: dplyr, ggplot2, parallel, patchwork, purrr, refund, SpatialExperiment, spatstat.explore, spatstat.geom, SummarizedExperiment, methods, stats, fda, tidyr, graphics, ExperimentHub, scales, S4Vectors, mgcv

Suggests: stringr, knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)