computeStat

Kappa statistics is one of the most used methods to evaluate the effectiveness of inpsections based on attribute assessments in industry. However, its estimation by available methods does not provide its "real" or "intrinstic" value. This package provides functions for the computation of the intrinsic kappa value as it is described in: Rafael Sanchez-Marquez, Frank Gerhorst and David Schindler (2023) "Effectiveness of quality inspections of attributive characteristics – A novel and practical method for estimating the “intrinsic” value of kappa based on alpha and beta statistics." <doi:10.1016/j.cie.2023.109006>.

David Schindler

intrinsicKappa

Sample Size Planning Based on Intrinsic Kappa Value

Rafael Sanchez-Marquez

Frank Gerhorst

computeStat function

<dl><dt>n1</dt>
<dd>integer</dd>
<dt>n2</dt>
<dd>integer</dd>
<dt>alpha</dt>
<dd>one-sided significance level</dd></dl>

Arguments

Compute Statistics — computeStat

<dl>

<dt>n1</dt>
<dd>integer</dd>


<dt>n2</dt>
<dd>integer</dd>


<dt>alpha</dt>
<dd>one-sided significance level</dd>

</dl>

computeStat: Compute Statistics

Description

Usage

Arguments