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ClustMC  

Cluster-Based Multiple Comparisons
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ClustMC", "0.1.1")



Attach the package and use:
library("ClustMC")
Maintained by
Santiago Garcia Sanchez
[Scholar Profile | Author Map]
First Published: 2024-08-27
Latest Update: 2024-08-27
Description:
Multiple comparison techniques are typically applied following an F test from an ANOVA to decide which means are significantly different from one another. As an alternative to traditional methods, cluster analysis can be performed to group the means of different treatments into non-overlapping clusters. Treatments in different groups are considered statistically different. Several approaches have been proposed, with varying clustering methods and cut-off criteria. This package implements cluster-based multiple comparisons tests and also provides a visual representation in the form of a dendrogram. Di Rienzo, J. A., Guzman, A. W., & Casanoves, F. (2002) <jstor.org/stable/1400690>. Bautista, M. G., Smith, D. W., & Steiner, R. L. (1997) <doi:10.2307/1400402>.
How to cite:
Santiago Garcia Sanchez (2024). ClustMC: Cluster-Based Multiple Comparisons. R package version 0.1.1, https://cran.r-project.org/web/packages/ClustMC. Accessed 20 Feb. 2025.
Previous versions and publish date:
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Complete documentation for ClustMC
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