rpf.dTheta

_rpf_dTheta

rpf.dTheta,rpf.base,numeric,numeric,numeric-method

rpf.dTheta,rpf.base,numeric,matrix,numeric-method

Evaluate the partial derivatives of the response probability with
respect to ability. See rpf.info for an application.

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.dTheta function

<dl><dt>m</dt>
<dd>item model</dd>
<dt>param</dt>
<dd>item parameters</dd>
<dt>where</dt>
<dd>location in the latent distribution</dd>
<dt>dir</dt>
<dd>if more than 1 factor, a basis vector</dd></dl>

Arguments

Item derivatives with respect to the location in the latent space — rpf.dTheta

<dl>

<dt>m</dt>
<dd>item model</dd>


<dt>param</dt>
<dd>item parameters</dd>


<dt>where</dt>
<dd>location in the latent distribution</dd>


<dt>dir</dt>
<dd>if more than 1 factor, a basis vector</dd>

</dl>

rpf.dTheta: Item derivatives with respect to the location in the latent space

Description

Usage

Arguments