lsirm.formula

Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.

Gwanghee Kim

lsirm12pl

Latent Space Item Response Model

Dongyoung Go

Jina Park

Ickhoon Jin

Minjeong Jeon

lsirm.formula function

<dl><dt>formula</dt>
<dd>The form of formula is <code>lsirm(A ~ &lt;term 1&gt;(&lt;term 2&gt;, &lt;term 3&gt; ...))</code>, where <code>A</code> is binary or continuous item response matrix to be analyzed, <code>&lt;term1&gt;</code> is the model you want to fit and has one of the following values: "lsirm1pl" and "lsirm2pl"., and <code>&lt;term 2&gt;</code>, <code>&lt;term 3&gt;</code>, etc., are each option for the model.</dd>
<dt>...</dt>
<dd>Additional arguments for the corresponding function.</dd></dl>

Arguments

Formula function for LSIRM — lsirm.formula

<dl>

<dt>formula</dt>
<dd>The form of formula is <code>lsirm(A ~ &lt;term 1&gt;(&lt;term 2&gt;, &lt;term 3&gt; ...))</code>, where <code>A</code> is binary or continuous item response matrix to be analyzed, <code>&lt;term1&gt;</code> is the model you want to fit and has one of the following values: "lsirm1pl" and "lsirm2pl"., and <code>&lt;term 2&gt;</code>, <code>&lt;term 3&gt;</code>, etc., are each option for the model.</dd>


<dt>...</dt>
<dd>Additional arguments for the corresponding function.</dd>

</dl>

Formula function for LSIRM

lsirm.formula: Formula function for LSIRM

Description

Usage

Arguments