<?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>pauldallison.r-universe.dev</title><link>https://pauldallison.r-universe.dev</link><description>Recent package updates in pauldallison</description><generator>R-universe</generator><image><url>https://github.com/pauldallison.png</url><title>R packages by pauldallison</title><link>https://pauldallison.r-universe.dev</link></image><lastBuildDate>Mon, 25 May 2026 21:27:35 GMT</lastBuildDate><item><title>[pauldallison] glemb 0.1.3</title><author>allison@statisticalhorizons.com (Paul Allison)</author><description>Provides multiple imputation for mixed continuous and
categorical data using the General Location Model (Olkin &amp; Tate
1961; Little &amp; Schluchter 1987) combined with the
Expectation-Maximization with Bootstrapping (EMB) algorithm.
Categorical variables are specified via the noms option; all
other variables are treated as continuous. The package wraps
the EM implementation in the 'mix' package and extends it with
a bootstrap wrapper to produce proper multiple imputations in
the sense of Rubin (1987).</description><link>https://github.com/r-universe/pauldallison/actions/runs/38878206793</link><pubDate>Mon, 25 May 2026 21:27:35 GMT</pubDate><r:package>glemb</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://pauldallison.r-universe.dev</r:repository><r:upstream>https://github.com/pauldallison/glemb</r:upstream><r:article><r:source>glemb-introduction.Rmd</r:source><r:filename>glemb-introduction.html</r:filename><r:title>Introduction to glemb</r:title><r:created>2026-04-18 14:07:10</r:created><r:modified>2026-05-11 17:09:36</r:modified></r:article></item></channel></rss>