<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>stagill.r-universe.dev</title><link>https://stagill.r-universe.dev</link><description>Recent package updates in stagill</description><generator>R-universe</generator><image><url>https://github.com/stagill.png</url><title>R packages by stagill</title><link>https://stagill.r-universe.dev</link></image><lastBuildDate>Sun, 25 Oct 2026 20:18:38 GMT</lastBuildDate><item><title>[stagill] DenMark 0.9.0</title><author>qihuang.zhang@mcgill.ca (Qihuang Zhang)</author><description>Quantifies the dependence between local cell density and
gene expression in single-cell resolution spatial
transcriptomics data, such as data from the Xenium and MERFISH
platforms. Cell locations form a point pattern and gene counts
are its marks. After aggregation on a regular grid, cell counts
and summed expression follow Poisson models driven by two
coregionalized latent Gaussian fields with Matern covariance,
approximated by Hilbert space basis functions; the correlation
between the two fields measures the density-expression
dependence. Models are fitted with 'Stan' through 'cmdstanr'.
Functions cover the tissue boundary (an alpha shape of the
cells), gridding, model fitting, posterior summaries,
latent-field decomposition, spatial correlation ranges, and
gene scans that call density-correlated genes.</description><link>https://github.com/r-universe/stagill/actions/runs/40241445545</link><pubDate>Sun, 25 Oct 2026 20:18:38 GMT</pubDate><r:package>DenMark</r:package><r:version>0.9.0</r:version><r:status>success</r:status><r:repository>https://stagill.r-universe.dev</r:repository><r:upstream>https://github.com/StaGill/DenMark</r:upstream><r:article><r:source>DenMark.Rmd</r:source><r:filename>DenMark.html</r:filename><r:title>Get started in R</r:title><r:created>2026-10-25 03:51:25</r:created><r:modified>2026-10-25 20:18:38</r:modified></r:article></item></channel></rss>