octopucs: Statistical Support for Hierarchical Clusters

Generates n hierarchical clustering hypotheses on subsets of classifiers (usually species in community ecology studies). The n clustering hypotheses are combined to generate a generalized cluster, and computes three metrics of support. 1) The average proportion of elements conforming the group in each of the n clusters (integrity). And 2) the contamination, i.e., the average proportion of elements from other groups that enter a focal group. 3) The probability of existence of the group gives the integrity and contamination in a Bayesian approach.

Version:	0.1.1
Depends:	vegan, stringr, progress
Published:	2024-08-16
DOI:	10.32614/CRAN.package.octopucs
Author:	Roger Guevara [aut, cre], Ian MacGregor-Fors [aut]
Maintainer:	Roger Guevara <roger.guevara at inecol.mx>
License:	GPL-3
NeedsCompilation:	no
Citation:	octopucs citation info
CRAN checks:	octopucs results

Documentation:

Reference manual:

octopucs.pdf

Downloads:

Package source:	octopucs_0.1.1.tar.gz
Windows binaries:	r-devel: octopucs_0.1.1.zip, r-release: octopucs_0.1.1.zip, r-oldrel: octopucs_0.1.1.zip
macOS binaries:	r-release (arm64): octopucs_0.1.1.tgz, r-oldrel (arm64): octopucs_0.1.1.tgz, r-release (x86_64): octopucs_0.1.1.tgz, r-oldrel (x86_64): octopucs_0.1.1.tgz
Old sources:	octopucs archive

Linking:

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