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multichull  

A Generic Convex-Hull-Based Model Selection Method
View on CRAN: Click here


Download and install multichull package within the R console
Install from CRAN:
install.packages("multichull")

Install from Github:
library("remotes")
install_github("cran/multichull")

Install by package version:
library("remotes")
install_version("multichull", "3.0.1")



Attach the package and use:
library("multichull")
Maintained by
Kristof Meers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-21
Latest Update: 2024-11-15
Description:
Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull(), developed by Ceulemans and Kiers (2006) , 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.
How to cite:
Kristof Meers (2017). multichull: A Generic Convex-Hull-Based Model Selection Method. R package version 3.0.1, https://cran.r-project.org/web/packages/multichull. Accessed 09 Mar. 2026.
Previous versions and publish date:
1.0.0 (2017-11-21 19:19), 1.0.1 (2023-10-26 16:30), 3.0.0 (2024-07-18 15:50)
Other packages that cited multichull R package
View multichull citation profile
Other R packages that multichull depends, imports, suggests or enhances
Complete documentation for multichull
Functions, R codes and Examples using the multichull R package
Some associated functions: CHull . MultiCHull . multichull-package . runShinyApp . 
Some associated R codes: CHull.R . CHull.default.R . MultiCHull.R . MultiCHull.default.R . plot.CHull.R . plot.MultiCHull.R . print.CHull.R . print.MultiCHull.R . runShinyApp.R . summary.CHull.R . summary.MultiCHull.R .  Full multichull package functions and examples
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