crosstabTest

lifecycle::badge("experimental")
This is for developers.

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

crosstabTest function

<dl><dt>ob</dt>
<dd>observed table</dd>
<dt>ex</dt>
<dd>expected table</dd>
<dt>trials</dt>
<dd>number of Monte-Carlo trials</dd></dl>

Arguments

Monte-Carlo test for cross-tabulation tables — crosstabTest

<dl>

<dt>ob</dt>
<dd>observed table</dd>


<dt>ex</dt>
<dd>expected table</dd>


<dt>trials</dt>
<dd>number of Monte-Carlo trials</dd>

</dl>

crosstabTest: Monte-Carlo test for cross-tabulation tables

Description

Usage

Arguments