<?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>abindoff.r-universe.dev</title><link>https://abindoff.r-universe.dev</link><description>Recent package updates in abindoff</description><generator>R-universe</generator><image><url>https://github.com/abindoff.png</url><title>R packages by abindoff</title><link>https://abindoff.r-universe.dev</link></image><lastBuildDate>Tue, 23 Jun 2026 05:46:48 GMT</lastBuildDate><item><title>[abindoff] fibr 0.1.1</title><author>aidan.bindoff@utas.edu.au (Aidan D Bindoff)</author><description>Computes the prior fraction, the per-group pooling factor
of Gelman and Pardoe (2006) &lt;doi:10.1198/004017005000000517&gt;,
for hierarchical models, including directly from 'brms' fits.
For each group-level coefficient the prior fraction is the
share of the posterior precision contributed by the prior
relative to the likelihood; values near one indicate a
coefficient that is prior-dominated (the centring/non-centring
funnel regime), values near zero indicate a
likelihood-dominated coefficient that is well identified from
the data. These quantities are invisible to standard
convergence diagnostics such as R-hat and effective sample
size, and they indicate where a non-centred reparameterisation
is likely to help. A companion advisor reports the same
decomposition for changepoint random effects fitted with
'smoothbp'. The underlying geometry (the Fisher-metric
connection on the base-fiber split, for which this connection
is flat so the obstruction is statistical rather than
geometric) is described in Bindoff (2026)
&lt;doi:10.5281/zenodo.20724550&gt;; code reproducing the paper is in
the package's source repository.</description><link>https://github.com/r-universe/abindoff/actions/runs/28448615543</link><pubDate>Tue, 23 Jun 2026 05:46:48 GMT</pubDate><r:package>fibr</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://abindoff.r-universe.dev</r:repository><r:upstream>https://github.com/abindoff/fibr</r:upstream></item></channel></rss>