<?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>kookoot15.r-universe.dev</title><link>https://kookoot15.r-universe.dev</link><description>Recent package updates in kookoot15</description><generator>R-universe</generator><image><url>https://github.com/kookoot15.png</url><title>R packages by kookoot15</title><link>https://kookoot15.r-universe.dev</link></image><lastBuildDate>Wed, 18 Dec 2024 08:00:07 GMT</lastBuildDate><item><title>[kookoot15] elrm 1.2.6</title><author>zamar.david@gmail.com (David Zamar)</author><description>Implements a Markov Chain Monte Carlo algorithm to
approximate exact conditional inference for logistic regression
models. Exact conditional inference is based on the
distribution of the sufficient statistics for the parameters of
interest given the sufficient statistics for the remaining
nuisance parameters. Using model formula notation, users
specify a logistic model and model terms of interest for exact
inference. See Zamar et al. (2007) &lt;doi:10.18637/jss.v021.i03&gt;
for more details.</description><link>https://github.com/r-universe/kookoot15/actions/runs/27949532961</link><pubDate>Wed, 18 Dec 2024 08:00:07 GMT</pubDate><r:package>elrm</r:package><r:version>1.2.6</r:version><r:status>success</r:status><r:repository>https://kookoot15.r-universe.dev</r:repository><r:upstream>https://github.com/cran/elrm</r:upstream><r:article><r:source>elrm.Rnw</r:source><r:filename>elrm.pdf</r:filename><r:title>elrm</r:title><r:created>2013-12-05</r:created><r:modified>2019-06-28 13:40:03</r:modified></r:article></item></channel></rss>