<?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>danielwillem85.r-universe.dev</title><link>https://danielwillem85.r-universe.dev</link><description>Recent package updates in danielwillem85</description><generator>R-universe</generator><image><url>https://github.com/danielwillem85.png</url><title>R packages by danielwillem85</title><link>https://danielwillem85.r-universe.dev</link></image><lastBuildDate>Fri, 21 Aug 2026 09:10:02 GMT</lastBuildDate><item><title>[danielwillem85] DLCA 1.1</title><author>danielvdpalm@gmail.com (Daniel W. van der Palm)</author><description>Provides algorithms for estimating divisive and standard
latent class models. The divisive latent class method follows
van der Palm, van der Ark and Vermunt (2016)
&lt;doi:10.1007/s00357-016-9195-5&gt;. Both algorithms use
expectation-maximization and Newton-Raphson optimization and
are implemented in 'C++' for speed through 'Rcpp'.</description><link>https://github.com/r-universe/danielwillem85/actions/runs/35502111287</link><pubDate>Fri, 21 Aug 2026 09:10:02 GMT</pubDate><r:package>DLCA</r:package><r:version>1.1</r:version><r:status>success</r:status><r:repository>https://danielwillem85.r-universe.dev</r:repository><r:upstream>https://github.com/cran/DLCA</r:upstream></item></channel></rss>