default_dcm_priors

View the prior distributions that are applied by default when using a given
measurement and structural model.

Diagnostic classification models are psychometric models used
to categorically estimate respondents mastery, or proficiency, on a
set of predefined skills (Bradshaw, 2016,
<doi:10.1002/9781118956588.ch13>). Diagnostic models can be estimated
with 'Stan'; however, the necessary scripts can be long and
complicated. This package automates the creation of 'Stan' scripts for
diagnostic classification models. Specify different types of
diagnostic models, define prior distributions, and automatically
generate the necessary 'Stan' code for estimating the model.

W. Jake Thompson

dcmstan

Generate 'Stan' Code for Diagnostic Classification Models

Jeffrey Hoover

Auburn Jimenez

University of Kansas 

Institute of Education Sciences 

default_dcm_priors function

<dl><dt>measurement_model</dt>
<dd>A measurement model object.</dd>
<dt>structural_model</dt>
<dd>A structural model object.</dd></dl>

Arguments

Default priors for diagnostic classification models — default_dcm_priors

<dl>

<dt>measurement_model</dt>
<dd>A measurement model object.</dd>


<dt>structural_model</dt>
<dd>A structural model object.</dd>

</dl>

default_dcm_priors: Default priors for diagnostic classification models

Description

Usage

Value

Arguments

Examples