pars.long

This is a helper function used to generate custom hypotheses. See the 'adding_hypotheses' vignette.

Implementation of analytical and sampling-based power analyses for
the Wald, likelihood ratio (LR), score, and gradient tests. Can be applied
to item response theory (IRT) models that are fitted using marginal maximum
likelihood estimation. The methods are described in our paper
(Zimmer et al. (2022) <doi:10.1007/s11336-022-09883-5>).

Felix Zimmer

irtpwr

Power Analysis for IRT Models Using the Wald, LR, Score, and
Gradient Statistics

Rudolf Debelak

Jan Radek

pars.long function

<dl><dt>pars</dt>
<dd>list of parameters. Can also be coefficients from a model fitted by mirt. In this case, the from.mirt argument has to be set to TRUE</dd>
<dt>itemtype</dt>
<dd>character, type of the item as string, e.g. '2PL'</dd>
<dt>from.mirt</dt>
<dd>logical, treat as coefficients from a model fitted by mirt if TRUE</dd></dl>

Arguments

Transform parameters to a longer format — pars.long

<dl>

<dt>pars</dt>
<dd>list of parameters. Can also be coefficients from a model fitted by mirt. In this case, the from.mirt argument has to be set to TRUE</dd>


<dt>itemtype</dt>
<dd>character, type of the item as string, e.g. '2PL'</dd>


<dt>from.mirt</dt>
<dd>logical, treat as coefficients from a model fitted by mirt if TRUE</dd>

</dl>

pars.long: Transform parameters to a longer format

Description

Usage

Value

Arguments

Examples