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matchednull: 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>.
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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