Geweke_convergence

Runs Geweke tests to assess MCMC convergence

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

Geweke_convergence function

<dl><dt>THETA</dt>
<dd>Matrix of parameter estimates from IRTM</dd></dl>

Arguments

Geweke Convergence — Geweke_convergence

<dl>

<dt>THETA</dt>
<dd>Matrix of parameter estimates from IRTM</dd>

</dl>

Geweke_convergence: Geweke Convergence

Description

Usage

Value

Arguments