Package: octopucs 0.1.1
Roger Guevara
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:
octopucs_0.1.1.tar.gz
octopucs_0.1.1.tar.gz(r-4.5-noble)octopucs_0.1.1.tar.gz(r-4.4-noble)
octopucs_0.1.1.tgz(r-4.4-emscripten)octopucs_0.1.1.tgz(r-4.3-emscripten)
octopucs.pdf |octopucs.html✨
octopucs/json (API)
# Install 'octopucs' in R: |
install.packages('octopucs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:977d83f83c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
Exports:compsim2draw.octopucsF1glzclusterglzcluster2glzcsIDsclusterIDscluster2octopucs
Dependencies:cliclustercrayongluehmslatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepkgconfigprettyunitsprogressR6rlangstringistringrvctrsvegan
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Complementarity and disimilarity | compsim2 |
Draw the Generalized Clustering Hypothesis | draw.octopucs |
Labeling of memberships of two groups | F1 |
Generalized Cluster | glzcluster |
Generalized Cluster | glzcluster2 |
Support for Groups and Subgroups in the Generalized Dendrogram | glzcs |
Memberships of Groups and Subgroups | IDscluster |
Memberships of Groups and Subgroups | IDscluster2 |
Support for Hierarchical Clusters | octopucs |