Matched-Null Tests for Cluster-Count Claims // Builds Gaussian- copula matched nulls: synthetic twins of a dataset that preserve every marginal distribution and the full correlation matrix while containing no cluster structure by construction. A reported number of clusters or "types" can then be tested against what the data's own margins and covariance already produce, using any clustering pipeline. Implements the matched- null procedure of Meng (2026) "Types Without Taxa" https://osf.io/2ekcg.