cpp_mutual_clustering_all_pairs: Pairwise mutual clustering information — batch computation

In TreeDist: Calculate and Map Distances Between Phylogenetic Trees

Pairwise mutual clustering information — batch computation

Description

Internal function. Computes all pairwise MCI scores for a set of trees, using OpenMP threads when available (falling back to single-threaded execution otherwise). No interrupt checking is performed inside the parallel region; the outer R call remains interruptible between batches.

Usage

cpp_mutual_clustering_all_pairs(splits_list, n_tip, n_threads = 1L)

Arguments

splits_list	A list of split matrices (class Splits or RawMatrix), one per tree, all covering the same tip set. Typically the object returned by as.Splits(trees, tipLabels = labs, asSplits = FALSE).
n_tip	Integer; number of tips shared by all trees.

Value

Numeric vector of length n*(n-1)/2 containing pairwise MCI scores in combn(n, 2) column-major order (i.e. the data payload of an R dist object).

TreeDist documentation built on June 10, 2026, 5:06 p.m.