multipointR
Bioc removedA package to compare intensities of point patterns across samples with spatial parametric models
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Description
`multipointR` is a package to compare the distribution of cells in an image or cross images with point process models. On a single image level point process models (`ppm`) model the spatial distribution of a cell type point pattern as a function of spatial covariates while accounting for natural spacing of cells. The main model class considered in `multipointR` are inhomgoeneous Gibb's point process models. Across multiple images, users can either compare multiple univariate `ppm` models in a for loop or fit one joint model across all images with `mppm`. `multipointR` provides an interface between `SpatialExperiment` and `SpatialFeatureExperiment` objects and let's users flexibly define their own `ppm`/`mppm` models with R's formula interface.
None published for Bioconductor
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People
- Martin Emons author maintainer
- Wolfgang Huber author
- Mark D. Robinson author funder
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