rpf.mean.info

lifecycle::badge("experimental")
This is a point estimate of the mean difficulty of items that do
not offer easily interpretable parameters such as the Generalized
PCM. Since the information curve may not be unimodal, this
function integrates across the latent space.

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.mean.info function

<dl><dt>spec</dt>
<dd>list of item specs</dd>
<dt>param</dt>
<dd>list or matrix of item parameters</dd>
<dt>grain</dt>
<dd>the step size for numerical integration (optional)</dd></dl>

Arguments

Find the point where an item provides mean maximum information — rpf.mean.info

<dl>

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


<dt>param</dt>
<dd>list or matrix of item parameters</dd>


<dt>grain</dt>
<dd>the step size for numerical integration (optional)</dd>

</dl>

rpf.mean.info: Find the point where an item provides mean maximum information

Description

Usage

Arguments