Description Usage Arguments Value Author(s) See Also Examples
View source: R/StabilityFunctions.R
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.
1 2 | comp.trees(model)
comp.trees.levels(model)
|
model |
An |
The functions return a numeric value that quantifies the similarity (or diversity) of the nontrivial tree topologies of a given mixture models.
Jasmina Bogojeska
RtreemixModel-class
, comp.models
,
fit-methods
, stability.sim
1 2 3 4 5 6 7 8 | ## 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)
|
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