<?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>becku182.r-universe.dev</title><link>https://becku182.r-universe.dev</link><description>Recent package updates in becku182</description><generator>R-universe</generator><image><url>https://github.com/becku182.png</url><title>R packages by becku182</title><link>https://becku182.r-universe.dev</link></image><lastBuildDate>Sat, 14 Mar 2026 16:20:02 GMT</lastBuildDate><item><title>[becku182] rmsBMA 0.1.2</title><author>beckkrzysztof@gmail.com (Krzysztof Beck)</author><description>Implements Bayesian model averaging for settings with many
candidate regressors relative to the available sample size,
including cases where the number of regressors exceeds the
number of observations. By restricting attention to models with
at most M regressors, the package supports reduced model space
inference, thereby preserving degrees of freedom for
estimation. It provides posterior summaries, Extreme Bounds
Analysis, model selection procedures, joint inclusion measures,
and graphical tools for exploring model probabilities, model
size distributions, and coefficient distributions. The
methodological approach follows Doppelhofer and Weeks (2009)
&lt;doi:10.1002/jae.1046&gt;.</description><link>https://github.com/r-universe/becku182/actions/runs/29182407531</link><pubDate>Sat, 14 Mar 2026 16:20:02 GMT</pubDate><r:package>rmsBMA</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://becku182.r-universe.dev</r:repository><r:upstream>https://github.com/cran/rmsBMA</r:upstream><r:article><r:source>rmsBMA.Rmd</r:source><r:filename>rmsBMA.html</r:filename><r:title>rmsBMA: Reduced Model Space Bayesian Model Averaging</r:title><r:created>2026-03-11 19:30:03</r:created><r:modified>2026-03-11 19:30:03</r:modified></r:article></item></channel></rss>