plot.raschmodel

plot.rsmodel

plot.pcmodel

plot.nplmodel

plot.gpcmodel

Base graphics plotting function for various IRT models.

hplot

Infrastructure for psychometric modeling such as data classes (for
item response data and paired comparisons), basic model fitting functions (for
Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit,
rating scale, multinomial processing tree models), extractor functions for
different types of parameters (item, person, threshold, discrimination,
guessing, upper asymptotes), unified inference and visualizations, and various
datasets for illustration.  Intended as a common lightweight and efficient
toolbox for psychometric modeling and a common building block for fitting
psychometric mixture models in package "psychomix" and trees based on
psychometric models in package "psychotree".

Achim Zeileis

psychotools

Psychometric Modeling Infrastructure

Carolin Strobl

Florian Wickelmaier

Basil Komboz

Julia Kopf

Lennart Schneider

Rudolf Debelak

plot.raschmodel function

<dl> <dt>x</dt>
<dd>a fitted model object of class <code>"raschmodel"</code>,
 <code>"rsmodel"</code>, <code>"pcmodel"</code>, <code>"nplmodel"</code> or <code>"gpcmodel"</code>.</dd> <dt>type</dt>
<dd>character, specifying the type of plot to create.</dd> <dt>...</dt>
<dd>further arguments passed over to the specific plotting
 function.</dd></dl>

Arguments

Visualizing IRT Models — plot.raschmodel

<dl>

 <dt>x</dt>
<dd>a fitted model object of class <code>"raschmodel"</code>,
 <code>"rsmodel"</code>, <code>"pcmodel"</code>, <code>"nplmodel"</code> or <code>"gpcmodel"</code>.</dd>

 <dt>type</dt>
<dd>character, specifying the type of plot to create.</dd>

 <dt>...</dt>
<dd>further arguments passed over to the specific plotting
 function.</dd>

</dl>

Visualizing IRT Models

plot.raschmodel: Visualizing IRT Models

Description

Usage

Arguments

See Also