rpf.1dim.moment

Popular central moments include 2 (variance) and 4 (kurtosis).

Factor out logic
and math common to Item Factor Analysis fitting, diagnostics, and
analysis. It is envisioned as core support code suitable for more
specialized IRT packages to build upon. Complete access to optimized C
functions are made available with R_RegisterCCallable().
This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.

Joshua Pritikin

Response Probability Functions

Jonathan Weeks

Li Cai

Carrie Houts

Phil Chalmers

rpf.1dim.moment function

<dl><dt>spec</dt>
<dd>list of item models</dd>
<dt>params</dt>
<dd>data frame of item parameters, 1 per row</dd>
<dt>scores</dt>
<dd>model derived person scores</dd>
<dt>m</dt>
<dd>which moment</dd></dl>

Arguments

Calculate cell central moments — rpf.1dim.moment

<dl>

<dt>spec</dt>
<dd>list of item models</dd>


<dt>params</dt>
<dd>data frame of item parameters, 1 per row</dd>


<dt>scores</dt>
<dd>model derived person scores</dd>


<dt>m</dt>
<dd>which moment</dd>

</dl>

rpf.1dim.moment: Calculate cell central moments

Description

Usage

Value

Arguments