PlotComparisonResults

Comparison plotting helpers for the multi-method cross-sectional report. These functions generate side-by-side diagnostic figures so the same metric can be compared across several harmonisation methods at once.

`plot_compare_long_subject_order(results, significance=0.05)`

Compare longitudinal subject-order consistency across methods.

`plot_compare_long_within_subject_variability(results)`

Compare within-subject variability summaries across methods.

`plot_compare_long_additive_multiplicative(results, p_thr=0.05)`

Compare additive and multiplicative residual batch effects across methods.

`plot_compare_long_mixed_effects(results)`

Compare mixed-effects outputs for pairwise batch signal and ICC.

`plot_compare_long_biological_effects(results, p_thr=0.05)`

Compare biological fixed-effect preservation across methods.

`plot_compare_long_multivariate_batch_difference(results)`

Compare multivariate Mahalanobis batch differences across methods.