optK: Find the optimal number of bins

In nlmeVPC: Visual Model Checking for Nonlinear Mixed Effect Model

Find the optimal number of bins

Description

This function automatically finds the optimal number of bins using dynamic programming.

Usage

optK(X,
     Kmethod = "cluster",
     maxK = 10,
     beta = 0.2,
     lambda = 0.3,
     R = 4,
     C1 = 2.5,
     C2 = 7.8, ...)

Arguments

X	Numeric vector corresponding to Y.
Kmethod	The way to calculate the penalty in automatic binning."cluster" or "kernel".
maxK	The maximum number of bins.
beta	Additional parameter for automatic binning. For more detailed explanation, see reference.
lambda	Additional parameter for automatic binning. For more detailed explanation, see reference.
R	Additional parameter for automatic binning. For more detailed explanation, see reference.
C1	Additional parameter for automatic binning. For more detailed explanation, see reference.
C2	Additional parameter for automatic binning. For more detailed explanation, see reference.
...	Arguments to be passed to methods.

Value

The optimal number of bins, the result of binning, and the summary of binning including the penalty values up to the maximum number of bins are returned.

References

Lavielle, M. and Bleakley, K. (2011). Automatic data binning for improved visual diagnosis of pharmacometric models. Journal of pharmacokinetics and pharmacodynamics, 38(6), 861-871.

Examples

data(origdata)
optK(origdata$TIME)

nlmeVPC documentation built on Dec. 28, 2022, 2:49 a.m.