<?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>jakeberv.r-universe.dev</title><link>https://jakeberv.r-universe.dev</link><description>Recent package updates in jakeberv</description><generator>R-universe</generator><image><url>https://github.com/jakeberv.png</url><title>R packages by jakeberv</title><link>https://jakeberv.r-universe.dev</link></image><lastBuildDate>Thu, 02 Jul 2026 18:51:09 GMT</lastBuildDate><item><title>[jakeberv] bifrost 0.1.4</title><author>jacob.berv@gmail.com (Jacob S. Berv)</author><description>Methods for detecting and visualizing cladogenic shifts in
multivariate trait data on phylogenies. Implements
penalized-likelihood multivariate generalized least squares
models, enabling analyses of high-dimensional trait datasets
and large trees via searchOptimalConfiguration(). Includes a
greedy step-wise shift-search algorithm following approaches
developed in Smith et al. (2023) &lt;doi:10.1111/nph.19099&gt; and
Berv et al. (2024) &lt;doi:10.1126/sciadv.adp0114&gt;. Methods build
on multivariate GLS approaches described in Clavel et al.
(2019) &lt;doi:10.1093/sysbio/syy045&gt; and implemented in the
mvgls() function from the 'mvMORPH' package. Documentation and
vignettes are available at &lt;https://jakeberv.com/bifrost/&gt;,
including worked examples for the jaw-shape dataset.</description><link>https://github.com/r-universe/jakeberv/actions/runs/28620131308</link><pubDate>Thu, 02 Jul 2026 18:51:09 GMT</pubDate><r:package>bifrost</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://jakeberv.r-universe.dev</r:repository><r:upstream>https://github.com/jakeberv/bifrost</r:upstream></item></channel></rss>