https://mjemons.r-universe.devRecent package updates in mjemonsR-universehttps://github.com/mjemons.pnghttps://mjemons.r-universe.devThu, 03 Sep 2026 08:10:39 GMTmartin.emons@uzh.ch (Martin Emons)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.https://github.com/r-universe/bioc/actions/runs/38403394163Thu, 03 Sep 2026 08:10:39 GMTspatialFDA1.5.2failurehttps://bioc.r-universe.devhttps://github.com/bioc/spatialFDAmartin.emons@uzh.ch (Martin Emons)`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.https://github.com/r-universe/bioc/actions/runs/36132802858Wed, 26 Aug 2026 14:28:29 GMTmultipointR0.99.6successhttps://bioc.r-universe.devhttps://github.com/bioc/multipointRmultipointR.RmdmultipointR.htmlIntroduction to multipointR2026-04-30 19:14:562026-08-26 14:28:29