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rolescry 0.2.0

Information-theoretic re-founding of the detection engine, a correctness fix to the name-blindness contract, and more robust survival-code handling. Detection remains deterministic and, by default (name_bonus = NULL), a pure function of each column’s value signature.

Behaviour changes

• Name-blindness contract fix. Column typing no longer consults column names when name_bonus = NULL. Previously a weak-signature identifier column could be typed from its name; such a column is now typed from its values only, so its assignment can differ from 0.1.0. This restores the package’s core invariant: renaming columns to col_1, col_2, ... cannot change any role.
• Survival event coding. Event detection now normalises 2- and 3-level numeric and logical codings to {0, 1}; factor and character codings are intentionally not coerced.

Detection improvements

• Dependency structure is scored with normalized mutual information and distance-based criteria, so nonlinear dependence is visible to the detector.
• Continuous and binary outcome detection is recast as a dependency sink: a column explained by two or more mutually independent predictors. The detector stays silent when no column is decisively a sink, rather than guessing.
• Repeated-measures detection is set-based, and every single-winner selection uses value-fingerprint canonical tie-breaks, so results do not depend on column order.

Invariance guarantees

• RELABEL (renaming every column) and S_n (permuting columns) both leave every role assignment unchanged (|delta| = 0). These are structural properties of the estimator and hold independently of any tuning.

Validation and scope

• A single pre-registered, held-out confirmatory run (OSF registration osf.io/8ecau; analytic-code archive DOI 10.5281/zenodo.21003941) met its binding criteria on the specified synthetic data-generating process: structural invariance (RELABEL and S_n |delta| = 0), admissible macro-F1 above the pre-registered floor, and superiority over the strongest baseline.
• Scope: this confirms estimator stability on that synthetic process only. It does not establish real-data or external validity, which is a separate, separately registered question. Two limitations are disclosed: event_variable fell just outside its pre-registered calibration band, and covariate remains inadmissible (high false-positive rate) and is excluded from the headline.

Citation

• rolescry now has its own archival DOI, 10.5281/zenodo.21003941; citation("rolescry") and CITATION.cff reference both rolescry and the parent MDStatR engine.

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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