FindBestCut

By various rules, find the best cutoff values for a given 
number of bins.

Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).

Eun-Kyung Lee

nlmeVPC

Visual Model Checking for Nonlinear Mixed Effect Model

Eun-Hwa Kang

FindBestCut function

<dl><dt>X</dt>
<dd>A numeric vector to divide into K bins.</dd>
<dt>K</dt>
<dd>Number of bins.</dd>
<dt>beta</dt>
<dd>Additional parameter in the penalty. 
For more detailed explanation, see reference.</dd>
<dt>...</dt>
<dd>Arguments to be passed to methods.</dd></dl>

Arguments

Find the best cutoff values of binning for the visual predictive checks. — FindBestCut

<dl>

<dt>X</dt>
<dd>A numeric vector to divide into K bins.</dd>


<dt>K</dt>
<dd>Number of bins.</dd>


<dt>beta</dt>
<dd>Additional parameter in the penalty. 
For more detailed explanation, see reference.</dd>


<dt>...</dt>
<dd>Arguments to be passed to methods.</dd>

</dl>

FindBestCut: Find the best cutoff values of binning for the visual predictive checks.

Description

Usage

Value

Arguments

References

Examples