<?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>kennethkoslowski.r-universe.dev</title><link>https://kennethkoslowski.r-universe.dev</link><description>Recent package updates in kennethkoslowski</description><generator>R-universe</generator><image><url>https://github.com/kennethkoslowski.png</url><title>R packages by kennethkoslowski</title><link>https://kennethkoslowski.r-universe.dev</link></image><lastBuildDate>Fri, 16 Oct 2026 12:58:21 GMT</lastBuildDate><item><title>[munchfab] mlts 2.0.1.9000</title><author>kenneth.koslowski@uni-leipzig.de (Kenneth Koslowski)</author><description>Fit multilevel manifest or latent time-series models,
including popular Dynamic Structural Equation Models (DSEM).
The models can be set up and modified with user-friendly
functions and are fit to the data using 'Stan' for Bayesian
inference. Path models and formulas for user-defined models can
be easily created with functions using 'knitr'. Asparouhov,
Hamaker, &amp; Muthen (2018) &lt;doi:10.1080/10705511.2017.1406803&gt;.</description><link>https://github.com/r-universe/munchfab/actions/runs/38904594145</link><pubDate>Fri, 16 Oct 2026 12:58:21 GMT</pubDate><r:package>mlts</r:package><r:version>2.0.1.9000</r:version><r:status>success</r:status><r:repository>https://munchfab.r-universe.dev</r:repository><r:upstream>https://github.com/munchfab/mlts</r:upstream><r:article><r:source>betw_predictors.Rmd</r:source><r:filename>betw_predictors.html</r:filename><r:title>Include Predictors for Random Effects on the Between Level</r:title><r:created>2024-05-16 14:00:18</r:created><r:modified>2024-06-21 10:18:20</r:modified></r:article><r:article><r:source>manifest_ar.Rmd</r:source><r:filename>manifest_ar.html</r:filename><r:title>A Simple Example: Multilevel Manifest AR(1) Model</r:title><r:created>2024-05-16 14:00:18</r:created><r:modified>2025-12-08 09:06:24</r:modified></r:article><r:article><r:source>manifest_var.Rmd</r:source><r:filename>manifest_var.html</r:filename><r:title>Vector Autoregressive Models</r:title><r:created>2024-05-16 14:00:18</r:created><r:modified>2024-05-16 14:00:18</r:modified></r:article></item></channel></rss>