comp.trees: Functions for quantifying the diversity of the nontrivial...

Description Usage Arguments Value Author(s) See Also Examples

View source: R/StabilityFunctions.R

Description

These functions implement a similarity measure for comparing the topologies of the nontrivial tree components of a specified mixture model, and thereby quantifying their diversity. All possible pairs of nontrivial components are considered when computing the similarity. comp.trees uses the sum of the number of different edges of all pairs for caracterizing the difference of the trees in the model. comp.trees.levels uses the sum of the number of different edges of all pairs and the corresponding L1 distances of their level vectors. The model must have at least two nontrivial components.

Usage

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Arguments

model

An RtreemixModel object.

Value

The functions return a numeric value that quantifies the similarity (or diversity) of the nontrivial tree topologies of a given mixture models.

Author(s)

Jasmina Bogojeska

See Also

RtreemixModel-class, comp.models, fit-methods, stability.sim

Examples

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## Generate two random RtreemixModel objects each with 3 components.
mix1 <- generate(K = 3, no.events = 9, noise.tree = TRUE, prob = c(0.2, 0.8))
mix2 <- generate(K = 3, no.events = 9, noise.tree = TRUE, prob = c(0.2, 0.8))
## Inspect the diversity of the nontrivial tree components in a given model
## using the number of distinct edges and the levels of the events in
## the treesas dissimilarity measure.
comp.trees.levels(model = mix1)
comp.trees.levels(model = mix2)

Rtreemix documentation built on Nov. 8, 2020, 5:57 p.m.