Compute pairwise tree distances between two model samples

This function compares two sets of posterior trees for a given project ID and models, computing a normalized Clustering Information distance using the TreeDist package. If distance results already exist, they are loaded from disk. Otherwise, the function attempts to generate missing tree samples using MakeSlurm(), and if both are available, it computes and stores the distance matrix.

TreeDistances(pID, model1, model2)

Arguments

pID

Character specifying the project identifier to analyse

model1, model2

Character scalars giving the model identifiers to compare.

Value

'TreeDistances()' returns a matrix of pairwise tree distances (as computed by ClusteringInfoDistance) if both model samples are available. If any tree sample is missing and a job is submitted via MakeSlurm(), the function returns NULL.

See also

Other tree-comparisons: Dispersion(), PrecisionIncrease(), TreeLengths()