Package: multipointR 0.99.0

Martin Emons

multipointR: A package to compare intensities of point patterns across samples with spatial parametric models

`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.

Authors:Martin Emons [aut, cre], Wolfgang Huber [aut], Mark D. Robinson [aut, fnd]

multipointR_0.99.0.tar.gz
multipointR_0.99.0.zip(r-4.7)multipointR_0.99.0.zip(r-4.6)multipointR_0.99.0.zip(r-4.5)
multipointR_0.99.0.tgz(r-4.6-any)multipointR_0.99.0.tgz(r-4.5-any)
multipointR_0.99.0.tar.gz(r-4.7-any)multipointR_0.99.0.tar.gz(r-4.6-any)
multipointR_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
multipointR/json (API)

# Install 'multipointR' in R:
install.packages('multipointR', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/biocstaging/multipointr/issues

On CRAN:

Conda:

softwarespatialtranscriptomics

3.81 score 10 exports 87 dependencies

Last updated from:f9a3e7ab9d. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE243
linux-devel-x86_64OK572
source / vignettesOK660
linux-release-x86_64OK569
macos-release-arm64OK459
macos-oldrel-arm64OK367
windows-develOK691
windows-releaseOK652
windows-oldrelOK636
wasm-releaseOK201

Exports:.dfToppp.fitSharedModelAcrossImages.fitSingelModelsPerImage.speToDfdefineInteractionModeldeparseFormulafitModelfitModelAcrossImagesmdlToDfspeToPPP

Dependencies:abindaskpassBiobaseBiocFileCacheBiocGenericsbitbit64blobcachemclicpp11curlDBIdbplyrDelayedArraydeldirdplyrfarverfastmapfilelockformula.toolsgenericsGenomicRangesggplot2gluegoftestgtablehttr2IRangesisobandlabelinglatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemgcvnlmeopenssloperator.toolspillarpkgconfigpolyclippurrrR6rappdirsrbibutilsRColorBrewerRcppRdpackreformulasrjsonrlangrpartRSQLiteS4ArraysS4VectorsS7scalesSeqinfoSingleCellExperimentSparseArraySpatialExperimentspatstat.dataspatstat.explorespatstat.geomspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsystensortibbletidyrtidyselectutf8vctrsviridisLitewithrXVector

Introduction to multipointR

Rendered frommultipointR.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-18
Started: 2026-04-30