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matchednull 0.2.2

• matched_null_test() now stops with an informative error when cluster_fn returns an invalid value (missing, non-finite, non-numeric, or not of length one), on the real data or on any twin. The error names the call (“the real data” or “null twin r of R”). Previously an invalid twin was silently dropped from the numerator of p_exceed while the denominator kept the requested R, and the printed summary still reported all R twins, so a run in which most twins had failed could print a p-value and an outcome as if nothing had gone wrong. Errors raised inside cluster_fn propagate unchanged, as before. Numerical results for valid inputs are unchanged: seeded runs reproduce exactly.
• The printed exceedance line is relabelled. It read “p (real >= nulls)”, but the numerator counts twins whose statistic reaches the real value, so the label named the wrong direction. It now reads “MC exceedance (null >= real)”, and the other printed labels are re-padded to keep the block aligned. The value is unchanged: (1 + sum(null >= real)) / (R + 1), as before.
• The printed outcome line is renamed. The three outcomes now read “no detected excess (within the reference interval)”, “departure from the reference model (above the interval; kind not settled by this test)”, and “below the reference range (a diagnostic, not a verdict)”. They replace “null-like (within the twins’ interval)”, “exceeds the null (beyond margins
  • covariance)“, and”below the null interval”. Returned values are unchanged.
• Documentation corrected. The twins preserve the margins exactly (each column is a permutation of the observed values) but reproduce the correlations only approximately: the observed correlation matrix is used as the latent correlation of the copula, and non-normal margins change the output Pearson correlations, so the earlier “to within sampling error” wording was wrong. p_exceed is now described as a plug-in Monte Carlo exceedance quantity under a reference fitted to the same data, not an exact finite-sample p-value, and copula = "t" as a sensitivity variant with heavier-tailed dependence that does not by itself establish or rule out clusters.
• citation("matchednull") now gives the title of the manuscript under review, A Matched-Null Test of Whether the Clusters a Pipeline Reports Are Real, With an Application to Personality Types. It previously gave the title of the preregistration, Types Without Taxa.
• The calibration summary in the README now reports runs in which the search range was wide enough that the tested count never reached its upper limit: on skewed clusterless data the test flags 4 of 100 datasets at n = 500 and at n = 2,000 (nominal 2.5%), while BIC and ICL choose more than one cluster in all of them. The earlier summary, which said the test flagged none, came from a capped range, under which the twins’ 97.5th percentile sat at the cap and could not be exceeded.

matchednull 0.2.1

• matched_null_test() gains parallel. With parallel = TRUE the twin loop runs through ‘future.apply’, so the backend is whatever future::plan() the caller has set. Seeded results are reproducible and independent of the number of workers. The default parallel = FALSE path is unchanged, so existing seeded analyses reproduce exactly.
• The maintainer address now uses a permanent personal inbox.

matchednull 0.2.0

• copula_null() and matched_null_test() gain copula = "t" and df: t-copula twins preserve the same margins and correlations but add tail dependence. A verdict of “exceeds the Gaussian null” can now be stress-tested against heavier-tailed dependence (df = 8, then 3) before it is read as evidence of types.
• matched_null_test() results record the null family used ($copula, $df), and the printed summary names it.

matchednull 0.1.0

• First release: copula_null() builds Gaussian-copula matched-null twins; matched_null_test() tests any clustering pipeline against them.

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.