<?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>leifeld-lab.r-universe.dev</title><link>https://leifeld-lab.r-universe.dev</link><description>Recent package updates in leifeld-lab</description><generator>R-universe</generator><image><url>https://github.com/leifeld-lab.png</url><title>R packages by leifeld-lab</title><link>https://leifeld-lab.r-universe.dev</link></image><lastBuildDate>Sun, 21 Dec 2025 21:39:35 GMT</lastBuildDate><item><title>[leifeld-lab] texreg 1.39.5</title><author>philip.leifeld@manchester.ac.uk (Philip Leifeld)</author><description>Converts coefficients, standard errors, significance
stars, and goodness-of-fit statistics of statistical models
into LaTeX tables or HTML tables/MS Word documents or to nicely
formatted screen output for the R console for easy model
comparison. A list of several models can be combined in a
single table. The output is highly customizable. New model
types can be easily implemented. Details can be found in
Leifeld (2013), JStatSoft &lt;doi:10.18637/jss.v055.i08&gt;.)</description><link>https://github.com/r-universe/leifeld-lab/actions/runs/27193019209</link><pubDate>Sun, 21 Dec 2025 21:39:35 GMT</pubDate><r:package>texreg</r:package><r:version>1.39.5</r:version><r:status>success</r:status><r:repository>https://leifeld-lab.r-universe.dev</r:repository><r:upstream>https://github.com/leifeld-lab/texreg</r:upstream><r:article><r:source>texreg.Rnw</r:source><r:filename>texreg.pdf</r:filename><r:title>texreg: Conversion of Statistical Model Output in R to LaTeX and HTML tables</r:title><r:created>2016-06-07 11:09:31</r:created><r:modified>2020-05-28 16:56:01</r:modified></r:article></item><item><title>[leifeld-lab] btergm 1.11.1</title><author>philip.leifeld@manchester.ac.uk (Philip Leifeld)</author><description>Temporal Exponential Random Graph Models (TERGM) estimated
by maximum pseudolikelihood with bootstrapped confidence
intervals or Markov Chain Monte Carlo maximum likelihood.
Goodness of fit assessment for ERGMs, TERGMs, and SAOMs.
Micro-level interpretation of ERGMs and TERGMs. The methods are
described in Leifeld, Cranmer and Desmarais (2018), JStatSoft
&lt;doi:10.18637/jss.v083.i06&gt;.</description><link>https://github.com/r-universe/leifeld-lab/actions/runs/27192470602</link><pubDate>Wed, 19 Mar 2025 00:44:54 GMT</pubDate><r:package>btergm</r:package><r:version>1.11.1</r:version><r:status>success</r:status><r:repository>https://leifeld-lab.r-universe.dev</r:repository><r:upstream>https://github.com/leifeld-lab/btergm</r:upstream></item></channel></rss>