<?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>rwa-thebook.r-universe.dev</title><link>https://rwa-thebook.r-universe.dev</link><description>Recent package updates in rwa-thebook</description><generator>R-universe</generator><image><url>https://github.com/rwa-thebook.png</url><title>R packages by rwa-thebook</title><link>https://rwa-thebook.r-universe.dev</link></image><lastBuildDate>Tue, 19 May 2026 08:41:18 GMT</lastBuildDate><item><title>[rwa-thebook] RMX 0.1-7</title><author>rainer.alexandrowicz@aau.at (Rainer W. Alexandrowicz)</author><description>Extend Rasch and Item Response Theory (IRT) analyses by
providing tools for post-processing the output from five major
IRT packages (i.e., 'eRm', 'psychotools', 'ltm', 'mirt', and
'TAM'). The current version provides the plotPIccc() function,
which extracts from the return object of the originating
package all information required to draw an extended
Person-Item-Map (PIccc), showing any combination of * category
characteristic curves (CCCs), * threshold characteristic curves
(TCCs), * item characteristic curves (ICCs), * category
information functions (CIFs), * item information functions
(IIFs), * test information function (TIF), and the * standard
error curve (S.E.). for uni- and multidimensional models (as
far as supported by each package). It allows for selecting
dimensions, items, and categories to plot and offers numerous
options to adapt the output. The return object contains all
calculated values for further processing.</description><link>https://github.com/r-universe/rwa-thebook/actions/runs/26094211173</link><pubDate>Tue, 19 May 2026 08:41:18 GMT</pubDate><r:package>RMX</r:package><r:version>0.1-7</r:version><r:status>success</r:status><r:repository>https://rwa-thebook.r-universe.dev</r:repository><r:upstream>https://github.com/cran/RMX</r:upstream></item><item><title>[rwa-thebook] GMX 0.9-2</title><author>rainer.alexandrowicz@aau.at (Rainer W. Alexandrowicz)</author><description>The function plotLRT() draws pairwise graphical model
checks for the Rasch Model (RM; Rasch, 1960), the Partial
Credit Model(PCM; Masters, 1982), and the Rating Scale Model
(RSM; Andrich, 1978) using the output object of eRm::LRtest().
The function cLRT() provides a conditional Likelihood Ratio
Test (Andersen, 1973), using the routines of 'psychotools'.
Users may choose to plot the threshold parameters, the
cumulative thresholds, the average thresholds per item, or the
person parameters. Extended coloring options allow for
automated item-wise or threshold-wise coloring. For multi-group
splits, all pairwise group comparisons are drawn automatically.
For more details see Andersen (1973) &lt;doi:10.1007/BF02291180&gt;,
Andrich (1978) &lt;doi:10.1007/BF02293814&gt;, Masters (1982)
&lt;doi:10.1007/BF02296272&gt; and Rasch (1960, ISBN:9780598554512).</description><link>https://github.com/r-universe/rwa-thebook/actions/runs/27191403322</link><pubDate>Tue, 10 Mar 2026 19:50:02 GMT</pubDate><r:package>GMX</r:package><r:version>0.9-2</r:version><r:status>success</r:status><r:repository>https://rwa-thebook.r-universe.dev</r:repository><r:upstream>https://github.com/cran/GMX</r:upstream></item></channel></rss>