RegressionCommon`
RegressionCommon`
CookD
As of Version 7.0, CookD has been renamed to "CookDistances" and has become a property of LinearModelFit.
CookD
is a possible value for the RegressionReport option for Regress and DesignedRegress which represents a list of Cook's distances.
Details and Options
- To use CookD, you first need to load the Regression Common Functions Package. You can do this by using Needs["LinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
- CookD is a diagnostic for identifying highly influential points.
- CookD gives a list of Cook's distances for the data points.
- CookD is equivalent to HatDiagonal/(1-HatDiagonal) StandardizedResiduals2/p where p is the number of parameters in the model.
Examples
Wolfram Research (2007), CookD, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/CookD.html.
Text
Wolfram Research (2007), CookD, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/CookD.html.
CMS
Wolfram Language. 2007. "CookD." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/CookD.html.
APA
Wolfram Language. (2007). CookD. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/RegressionCommon/ref/CookD.html