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oda 0.1.2

CRAN resubmission

• Added missing return-value documentation for SDA print and summary methods, as requested by CRAN.
• Replaced inappropriate \dontrun{} examples with \donttest{} or runnable examples, as requested by CRAN.
• Audited exported functions and registered S3 methods for missing return-value documentation.

oda 0.1.1

User-facing fixes

• Fixed oda_fit(mcarlo = N) so numeric mcarlo values enable Monte Carlo and set the iteration cap.
• Preserved rule, confusion, training metrics, and LOO details when a fitted model does not pass a LOO gate.
• Improved print() and summary() for ODA fits so rule-bearing models show the learned rule, training evidence, and LOO evidence.
• Enabled unweighted multiclass / multicategorical LOO reporting when loo = "on" is requested.
• Clarified that multicategorical LOO reports LOO confusion and ESS but does not report a LOO p-value because there is no canon-aligned C x C Fisher p-value.
• Clarified p-value directionality: MC permutation p-values are two-tailed; binary LOO Fisher p-values are one-tailed (MPE hold-out canon). Output labels now reflect the distinction.
• Fixed nominal multiclass rule display.
• Fixed multiclass summary output so class-level LOO PAC is visible.
• Fixed PAC percentage formatting to avoid double-scaling percent values.
• Added myeloma and cta_demo as package datasets for public examples.
• Re-enabled top-level vignette builds.
• Updated protein and migraine vignettes to reflect corrected LOO, rule, and p-value behavior.
• Kept oda_sample_size() runnable example meaningful while reducing CRAN example runtime.

Tests and release hygiene

• Added fixture tests for directional categorical LOO: binary fixed direction_map (LOO ESS, Fisher p one-tailed, p < 0.001) and multiclass direction = "ascending" (LOO ESS, confusion, no LOO Fisher p, print states “not reported”).

• Corrected directional-oda article: multiclass categorical LOO is supported with loo = "on"; clarified that MC p and LOO p are separate calculations.

• Fixed binary and categorical rule display - was showing <categorical/binary rule> placeholder. Now shows actual level-to-class mappings, e.g. {low} --> 0 | {high} --> 1.

• Added cta_confusion_matrix(tree) convenience wrapper that returns the 2x2 integer training confusion matrix directly from a cta_tree (previously required two-step cta_confusion_table() + as_confusion_matrix() call).

• Added attr_names length guard in oda_cta_fit() - error when supplied names do not match number of attributes.

• Improved as_cta_candidates() error message when X argument is omitted.

• Added regression tests for multiclass / multicategorical LOO reporting.

• Added tests for summary/print LOO evidence.

• Added scope guardrail tests for LORT lean-fit invariants and SORT/GORT export absence.

• Added CONTRIBUTING.md checklist for recursive CTA scope and release checks.

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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