theta_lambda_traceplots

Creates traceplots for IRT parameter convergence diagnostics

IRT-M is a semi-supervised approach based on Bayesian Item Response Theory
that produces theoretically identified underlying dimensions from input data
and a constraints matrix. The methodology is fully described in 'Morucci et al. (2024),
"Measurement That Matches Theory: Theory-Driven Identification in Item Response Theory Models"'.
Details are available at <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.

Margaret Foster

IRTM

Theory-Driven Item Response Theory (IRT) Models

Marco Morucci

David Siegel

theta_lambda_traceplots function

<dl><dt>irt</dt>
<dd>An object containing theta and lambda parameters from an IRTM model</dd>
<dt>i</dt>
<dd>Index of the respondent to plot (randomly selected if NULL)</dd>
<dt>k</dt>
<dd>Index of the item to plot (randomly selected if NULL)</dd></dl>

Arguments

Theta Lambda Traceplots — theta_lambda_traceplots

<dl>

<dt>irt</dt>
<dd>An object containing theta and lambda parameters from an IRTM model</dd>


<dt>i</dt>
<dd>Index of the respondent to plot (randomly selected if NULL)</dd>


<dt>k</dt>
<dd>Index of the item to plot (randomly selected if NULL)</dd>

</dl>

theta_lambda_traceplots: Theta Lambda Traceplots

Description

Usage

Value

Arguments