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:
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