ClustMC: Cluster-Based Multiple Comparisons

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>.

Version:	0.1.1
Depends:	R (≥ 2.10)
Imports:	cli, dplyr, graphics, lifecycle, magrittr, procs, psych, stats, usedist
Suggests:	ggdendro, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-08-27
DOI:	10.32614/CRAN.package.ClustMC
Author:	Santiago Garcia Sanchez [aut, cre, cph]
Maintainer:	Santiago Garcia Sanchez <santiagoesquel at gmail.com>
BugReports:	https://github.com/SGS2000/ClustMC/issues
License:	MIT + file LICENSE
URL:	https://github.com/SGS2000/ClustMC, https://sgs2000.github.io/ClustMC/
NeedsCompilation:	no
Citation:	ClustMC citation info
Materials:	README NEWS
CRAN checks:	ClustMC results

Documentation:

Reference manual:	ClustMC.pdf
Vignettes:	Customizing Plots (source, R code)

Downloads:

Package source:	ClustMC_0.1.1.tar.gz
Windows binaries:	r-devel: ClustMC_0.1.1.zip, r-release: ClustMC_0.1.1.zip, r-oldrel: ClustMC_0.1.1.zip
macOS binaries:	r-release (arm64): ClustMC_0.1.1.tgz, r-oldrel (arm64): ClustMC_0.1.1.tgz, r-release (x86_64): ClustMC_0.1.1.tgz, r-oldrel (x86_64): ClustMC_0.1.1.tgz

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