multichull-package: A Generic Convex-Hull-Based Model Selection Method

In multichull: A Generic Convex-Hull-Based Model Selection Method

A Generic Convex-Hull-Based Model Selection Method

Description

Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull() determines the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values.

Author(s)

Marlies Vervloet ([e-mail])

References

Wilderjans, T. F., Ceulemans, E., & Meers, K. (2013). CHull: A generic convex hull based model selection method. Behavior Research Methods, 45, 1-15.

Ceulemans, E., & Kiers, H. A. L. (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical & Statistical Psychology, 59, 133-150.

See Also

CHull MultiCHull

Examples

complexity.fit <- cbind(c(305,456,460,607,612,615,758,764,768,770,909,916,921,924),
c(152,89,79,71,57,57,64,49,47,47,60,41,39,39))

output <- CHull(complexity.fit)
plot(output)
print(output)
summary(output)

multichull documentation built on Oct. 26, 2023, 5:08 p.m.