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.

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.

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.

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