Package: octopucs 0.1.1

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.

Authors:Roger Guevara [aut, cre], Ian MacGregor-Fors [aut]

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octopucs.pdf |octopucs.html
octopucs/json (API)

# Install 'octopucs' in R:
install.packages('octopucs', repos = c('https://roger0268.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 178 downloads 9 exports 22 dependencies

Last updated 7 months agofrom:977d83f83c. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:compsim2draw.octopucsF1glzclusterglzcluster2glzcsIDsclusterIDscluster2octopucs

Dependencies:cliclustercrayongluehmslatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepkgconfigprettyunitsprogressR6rlangstringistringrvctrsvegan