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C443 (version 3.4.0)

See a Forest for the Trees

Description

Get insight into a forest of classification trees, by calculating similarities between the trees, and subsequently clustering them. Each cluster is represented by it's most central cluster member. The package implements the methodology described in Sies & Van Mechelen (2020) .

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Install

install.packages('C443')

Monthly Downloads

296

Version

3.4.0

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Aniek Sies

Last Published

June 21st, 2023

Functions in C443 (3.4.0)

treesimilarities.default

Get the similarity matrix that wast used to create a clusterforest object
treesimilarities.clusterforest

Get the similarity matrix that wast used to create a clusterforest object
summary.clusterforest

Summarize a clusterforest object
treesimilarities

Get the similarity matrix that wast used to create a clusterforest object
plot.clusterforest

Plot a clusterforest object
clusterforest

Clustering the classification trees in a forest based on similarities
medoidtrees.default

Get the medoid trees for a solution of a clusterforest object
drugs

Drug consumption data set
clusters.clusterforest

Get the cluster assignments for a solution of a clusterforest object
print.clusterforest

Print a clusterforest object
medoidtrees

Get the medoid trees for a solution of a clusterforest object
clusters

Get the cluster assignments for a solution of a clusterforest object
clusters.default

Get the cluster assignments for a solution of a clusterforest object
medoidtrees.clusterforest

Get the medoid trees for a solution of a clusterforest object
treesource.default

Mapping the tree clustering solution to a known source of variation underlying the forest
treesource

Mapping the tree clustering solution to a known source of variation underlying the forest
treesource.clusterforest

Mapping the tree clustering solution to a known source of variation underlying the forest