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divergence_coefficient(): Lyubishchev’s standardised
separation coefficient D for two groups on continuous features.scatter_ellipse(): fits per-class covariance ellipses
(mean, covariance, sample size).transgression(): detects ellipse overlap via squared
Mahalanobis distance against a chi-squared threshold.classify(): Edgeworth-Pearson multivariate posterior
classification of a new specimen with a numerically stable softmax.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.
Health stats visible at Monitor.