<?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>biomath-lab.r-universe.dev</title><link>https://biomath-lab.r-universe.dev</link><description>Recent package updates in biomath-lab</description><generator>R-universe</generator><image><url>https://github.com/biomath-lab.png</url><title>R packages by biomath-lab</title><link>https://biomath-lab.r-universe.dev</link></image><lastBuildDate>Tue, 21 Jul 2026 12:37:28 GMT</lastBuildDate><item><title>[b-cubed-eu] dissmapr 0.2.0</title><author>macfadyen@sun.ac.za (Sandra MacFadyen)</author><description>Tools to compute and map biodiversity turnover at the
macroscale. 'dissmapr' provides a reproducible, end-to-end
workflow for computing and mapping compositional dissimilarity
and biodiversity turnover across large spatial scales,
including occurrence-data retrieval, environmental-data
extraction, flexible grid generation, order-wise dissimilarity
computation (zeta diversity and multi-site generalised
dissimilarity modelling) and bioregional mapping.</description><link>https://github.com/r-universe/b-cubed-eu/actions/runs/39225632565</link><pubDate>Tue, 21 Jul 2026 12:37:28 GMT</pubDate><r:package>dissmapr</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://b-cubed-eu.r-universe.dev</r:repository><r:upstream>https://github.com/b-cubed-eu/dissmapr</r:upstream><r:article><r:source>dissmapr.Rmd</r:source><r:filename>dissmapr.html</r:filename><r:title>Get started with dissmapr</r:title><r:created>2026-06-26 14:03:48</r:created><r:modified>2026-06-26 14:03:48</r:modified></r:article></item><item><title>[b-cubed-eu] invasimapr 0.2.0</title><author>macfadyen@sun.ac.za (Sandra MacFadyen)</author><description>Utilities for assembling invader-resident interaction
tensors, computing trait-based competition kernels from
distance matrices, deriving environmental suitability kernels,
calculating invasion fitness, and summarising trait dispersion
metrics. Includes helpers to predict site-by-species responses
for residents and simulated invaders, and to derive species
invasiveness, site invasibility and trait-effect indicators.
The package implements a network invasibility framework that
decomposes invasion fitness into abiotic suitability, niche
crowding and resident competition components, following the
ecological-network theory of Hui and colleagues.</description><link>https://github.com/r-universe/b-cubed-eu/actions/runs/38233377775</link><pubDate>Tue, 14 Jul 2026 19:22:46 GMT</pubDate><r:package>invasimapr</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://b-cubed-eu.r-universe.dev</r:repository><r:upstream>https://github.com/b-cubed-eu/invasimapr</r:upstream><r:article><r:source>invasimapr.Rmd</r:source><r:filename>invasimapr.html</r:filename><r:title>Introduction to invasimapr</r:title><r:created>2026-06-27 08:44:09</r:created><r:modified>2026-07-07 12:33:18</r:modified></r:article></item></channel></rss>