builtin_keys

<p>A key contains the item difficulty estimates from a given Rasch model.
The difficulty estimates (<code>tau</code>) are used to calculate D-scores.
D-scores can only be compared when calculated with the same key.</p>

datasets

The D-score summarizes a child's performance on developmental milestones
into a single number. Its key feature is its generic nature. The method
does not depend on a specific measurement instrument. The statistical
method underlying the D-score is described in van Buuren et al. (2025)
<doi:10.1177/01650254241294033>. This package implements model keys to
convert milestone scores to D-scores; maps instrument-specific item names
to a generic 9-position naming convention; computes D-scores and their
precision from a child's milestone scores; and converts D-scores to
Development-for-Age Z-scores (DAZ) using age-conditional reference
standards.

Stef van Buuren

dscore

D-Score for Child Development

Iris Eekhout

Arjan Huizing

Jonathan Seiden

builtin_keys function

<p><code>builtin_keys</code> is a <code>data.frame</code> with variables:</p><table class="table">
<tr><td>Name</td><td>Label</td></tr>
<tr><td><code>key</code></td><td>String. Name of the key indicating the Rasch model</td></tr>
<tr><td><code>base_population</code></td><td>String. Name of the base population for the key</td></tr>
<tr><td><code>n_items</code></td><td>Number of items in the key</td></tr>
<tr><td><code>n_instruments</code></td><td>Number of instruments in the key</td></tr>
<tr><td><code>intercept</code></td><td>Intercept to convert logit into D-score</td></tr>
<tr><td><code>slope</code></td><td>Slope to convert logit into D-score</td></tr>
<tr><td><code>from</code></td><td>Starting value of the quadrature points</td></tr>
<tr><td><code>to</code></td><td>Stopping value of the quadrature points</td></tr>
<tr><td><code>by</code></td><td>Increment of the quadrature points</td></tr>
<tr><td><code>retired</code></td><td>Has the key been retired?</td></tr>
</table><p></p><p></p>

Format

Available keys for calculating the D-score — builtin_keys

<p><code>builtin_keys</code> is a <code>data.frame</code> with variables:</p><table class='table'>
<tr><td>Name</td><td>Label</td></tr>
<tr><td><code>key</code></td><td>String. Name of the key indicating the Rasch model</td></tr>
<tr><td><code>base_population</code></td><td>String. Name of the base population for the key</td></tr>
<tr><td><code>n_items</code></td><td>Number of items in the key</td></tr>
<tr><td><code>n_instruments</code></td><td>Number of instruments in the key</td></tr>
<tr><td><code>intercept</code></td><td>Intercept to convert logit into D-score</td></tr>
<tr><td><code>slope</code></td><td>Slope to convert logit into D-score</td></tr>
<tr><td><code>from</code></td><td>Starting value of the quadrature points</td></tr>
<tr><td><code>to</code></td><td>Stopping value of the quadrature points</td></tr>
<tr><td><code>by</code></td><td>Increment of the quadrature points</td></tr>
<tr><td><code>retired</code></td><td>Has the key been retired?</td></tr>
</table>



builtin_keys: Available keys for calculating the D-score

Description

Usage

Arguments

Format

Name	Label
`key`	String. Name of the key indicating the Rasch model
`base_population`	String. Name of the base population for the key
`n_items`	Number of items in the key
`n_instruments`	Number of instruments in the key
`intercept`	Intercept to convert logit into D-score
`slope`	Slope to convert logit into D-score
`from`	Starting value of the quadrature points
`to`	Stopping value of the quadrature points
`by`	Increment of the quadrature points
`retired`	Has the key been retired?