\name{comp.trees} \alias{comp.trees} \alias{comp.trees.levels} \title{Functions for quantifying the diversity of the nontrivial trees in a mutagenetic trees mixture model} \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. \code{comp.trees} uses the sum of the number of different edges of all pairs for caracterizing the difference of the trees in the model. \code{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{ comp.trees(model) comp.trees.levels(model) } \arguments{ \item{model}{An \code{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{Jasmina Bogojeska} \seealso{ \code{\link{RtreemixModel-class}}, \code{\link{comp.models}}, \code{\link{fit-methods}}, \code{\link{stability.sim}} } \examples{ ## 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) } \keyword{misc}