Package: spatialFDA 1.4.0

Martin Emons

spatialFDA: A Tool for Spatial Multi-sample Comparisons

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.

Authors:Martin Emons [aut, cre], Samuel Gunz [aut], Fabian Scheipl [aut], Elizabeth Purdom [aut], Mark D. Robinson [aut, fnd]

spatialFDA_1.4.0.tar.gz
spatialFDA_1.4.0.zip(r-4.7)spatialFDA_1.4.0.zip(r-4.6)spatialFDA_1.4.0.zip(r-4.5)
spatialFDA_1.4.0.tgz(r-4.6-any)spatialFDA_1.4.0.tgz(r-4.5-any)
spatialFDA_1.4.0.tar.gz(r-4.7-any)spatialFDA_1.4.0.tar.gz(r-4.6-any)
spatialFDA_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spatialFDA/json (API)
NEWS

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

Bug tracker:https://github.com/mjemons/spatialfda/issues

On BioConductor:spatialFDA-1.5.0(bioc 3.24)spatialFDA-1.4.0(bioc 3.23)

softwarespatialtranscriptomics

6.89 score 8 stars 30 scripts 274 downloads 20 exports 130 dependencies

Last updated from:b4c2325c74 (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE206
linux-devel-x86_64OK699
source / vignettesOK1000
linux-release-x86_64OK813
macos-release-arm64OK469
macos-oldrel-arm64OK418
windows-develOK830
windows-releaseOK551
windows-oldrelOK628
wasm-releaseOK175

Exports:.dfToppp.extractMetric.loadExample.speToDfcalcCrossMetricPerFovcalcMetricPerFovcrossSpatialInferenceextractCrossInferenceDatafunctionalGamfunctionalPCAplotCrossFOVplotCrossHeatmapplotCrossMetricPerFovplotFbPlotplotFpcaplotMdlplotMetricPerFovprepDatarMaxHeuristicspatialInference

Dependencies:abindAnnotationDbiAnnotationHubashaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64bitopsblobbootcachemcliclustercolorspacecpp11crayoncurlDBIdbplyrDelayedArraydeldirdeSolvedplyrExperimentHubfarverfastmapfdafdsfilelockFNNgamm4genericsGenomicRangesggplot2gluegoftestgrpreggtablehdrcdehttrhttr2IRangesisobandjsonliteKEGGRESTkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmemoisemgcvmimeminqamulticoolmvtnormnlmenloptropensslpatchworkpbspcaPPpillarpkgconfigpngpolyclippracmapurrrR6rainbowrappdirsrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrjsonrlangRLRsimRSQLiteS4ArraysS4VectorsS7scalesSeqinfoSingleCellExperimentSparseArraySpatialExperimentspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsystensortibbletidyrtidyselectutf8vctrsviridisLitewithrXVectoryaml

Functional Data Analysis of Spatial Metrics

Martin Emons, Fabian Scheipl, Mark D. Robinson

Rendered fromDiabetesIsletExample.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2026-03-22
Started: 2024-09-19

Overview Functional Data Analysis of Spatial Metrics

Martin Emons, Fabian Scheipl, Mark D. Robinson

Rendered fromDiabetesIsletExampleBrief.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2026-03-25
Started: 2025-08-12