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dcor() now returns
the conventional sample distance correlation (R_n). Previous versions
returned a U-centred bias-corrected squared distance-correlation
statistic. The latter is now exposed as bcdcor(), with
signed finite-sample values preserved. Use
dcor(..., squared = TRUE) for conventional (R_n^2).robust_ccc() for pairwise MCD-based robust
concordance correlation. The estimator substitutes joint reweighted
minimum covariance determinant location and scatter estimates into Lin’s
concordance coefficient and exposes alpha,
mcd_nsamp, and seed controls.robust_ccc() supports the package’s standard matrix,
sparse, and edge-list outputs; error,
complete, and pairwise missing-data modes; and
the shared print(), summary(),
plot(), estimate(), coef(),
tidy(), ci(), and confint()
interfaces.ci = TRUE, with bootstrap success counts
retained in result diagnostics.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.