<?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>rolenburg.r-universe.dev</title><link>https://rolenburg.r-universe.dev</link><description>Recent package updates in rolenburg</description><generator>R-universe</generator><image><url>https://github.com/rolenburg.png</url><title>R packages by rolenburg</title><link>https://rolenburg.r-universe.dev</link></image><lastBuildDate>Thu, 10 Sep 2026 09:20:12 GMT</lastBuildDate><item><title>[rolenburg] RSEML 0.1.0</title><author>reinhard.oldenburg@math.uni-augsburg.de (Reinhard Oldenburg)</author><description>Estimates structural equation models by case-based least
squares: the latent scores of every observation are treated as
free variables of a constrained optimization problem, so that
arbitrary nonlinear model equations, bounds and constraints on
latent variables and inequality constraints on parameters
become possible.  Model equations are specified as plain text
(e.g. &quot;y == a*exp(b*eta)&quot;). Gradients are obtained by automatic
differentiation via 'RTMB', and the constrained problem is
solved with 'nloptr' (SLSQP or augmented Lagrangian).  Missing
data are handled case-wise.  The methodology is described in
Oldenburg (2024) &lt;doi:10.19139/soic-2310-5070-1868&gt; and
Oldenburg (2025) &lt;doi:10.19139/soic-2310-5070-2324&gt;.</description><link>https://github.com/r-universe/rolenburg/actions/runs/38130908805</link><pubDate>Thu, 10 Sep 2026 09:20:12 GMT</pubDate><r:package>RSEML</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://rolenburg.r-universe.dev</r:repository><r:upstream>https://github.com/cran/RSEML</r:upstream></item></channel></rss>