plot.mcmc.sirt

Plot function for objects of class <code>mcmc.sirt</code>. These objects are generated
by: <code>mcmc.2pno</code>, <code>mcmc.2pnoh</code>,
<code>mcmc.3pno.testlet</code>, <code>mcmc.2pno.ml</code>

Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

plot.mcmc.sirt function

<dl> <dt>x</dt>
<dd>Object of class <code>mcmc.sirt</code></dd> <dt>layout</dt>
<dd>Layout type. <code>layout=1</code> is the standard coda plot output,
<code>layout=2</code> gives a slightly different display.</dd> <dt>conflevel</dt>
<dd>Confidence level (only applies to <code>layout=2</code>)</dd> <dt>round.summ</dt>
<dd>Number of digits to be rounded in summary (only applies to <code>layout=2</code>)</dd> <dt>lag.max</dt>
<dd>Maximum lag for autocorrelation plot (only applies to <code>layout=2</code>).
The default of .1 means that it is set to 1/10 of the number of iterations.</dd> <dt>col.smooth</dt>
<dd>Color of smooth trend in traceplot (only applies to <code>layout=2</code>)</dd> <dt>lwd.smooth</dt>
<dd>Line type of smooth trend in traceplot (only applies to <code>layout=2</code>)</dd> <dt>col.ci</dt>
<dd>Color for displaying confidence interval (only applies to <code>layout=2</code>)</dd> <dt>cex.summ</dt>
<dd>Cex size for descriptive summary (only applies to <code>layout=2</code>)</dd> <dt>ask</dt>
<dd>Ask for a new plot (only applies to <code>layout=2</code>)</dd> <dt>...</dt>
<dd>Further arguments to be passed</dd></dl>

Arguments

Plot Function for Objects of Class mcmc.sirt — plot.mcmc.sirt

<dl>

 <dt>x</dt>
<dd>Object of class <code>mcmc.sirt</code></dd>

 <dt>layout</dt>
<dd>Layout type. <code>layout=1</code> is the standard coda plot output,
<code>layout=2</code> gives a slightly different display.</dd>

 <dt>conflevel</dt>
<dd>Confidence level (only applies to <code>layout=2</code>)</dd>

 <dt>round.summ</dt>
<dd>Number of digits to be rounded in summary (only applies to <code>layout=2</code>)</dd>

 <dt>lag.max</dt>
<dd>Maximum lag for autocorrelation plot (only applies to <code>layout=2</code>).
The default of .1 means that it is set to 1/10 of the number of iterations.</dd>

 <dt>col.smooth</dt>
<dd>Color of smooth trend in traceplot (only applies to <code>layout=2</code>)</dd>

 <dt>lwd.smooth</dt>
<dd>Line type of smooth trend in traceplot (only applies to <code>layout=2</code>)</dd>

 <dt>col.ci</dt>
<dd>Color for displaying confidence interval (only applies to <code>layout=2</code>)</dd>

 <dt>cex.summ</dt>
<dd>Cex size for descriptive summary (only applies to <code>layout=2</code>)</dd>

 <dt>ask</dt>
<dd>Ask for a new plot (only applies to <code>layout=2</code>)</dd>

 <dt>...</dt>
<dd>Further arguments to be passed</dd>

</dl>

plot.mcmc.sirt: Plot Function for Objects of Class `mcmc.sirt`

Description

Usage

Arguments

See Also