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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "20%",
fig.align = 'right'
)
```
# spatialFDA
[](https://github.com/mjemons/spatialFDA/actions/workflows/R-CMD-check.yaml)
{width=20%}
spatialFDA is a tool to calculate spatial statistics functions on a `SpatialExperiment`
object using the `spatstat` library. It contains functions to plot these spatial statistics functions. In addition, users can compare the statial statistics functions using functional data analysis. Here, we use the `refund` library.
## Installation
You can install the official released `Bioconductor` version of `spatialFDA` via
``` r
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("spatialFDA")
```
You can install the development version of `spatialFDA` from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("mjemons/spatialFDA")
```
## Disclaimer
This package is still under active development, the content is therefore subject to change. Please refer to the `Bioconductor` releases for stable versions.
## Contact
In case you have suggestions to `spatialFDA` please consider opening an issue to this repository.
## Citation
When using `spatialFDA` please cite our pre-print
```
@article {Emons2026.04.13.718197,
author = {Emons, Martin and Scheipl, Fabian and Gunz, Samuel and Purdom, Elizabeth and Robinson, Mark D},
title = {Differential co-localisation analysis of multi-sample and multi-condition experiments with spatialFDA},
year = {2026},
doi = {10.64898/2026.04.13.718197},
publisher = {Cold Spring Harbor Laboratory},
journal = {bioRxiv}
}
```