Launches the bundled Shiny app. It covers lineup fairness from mock-witness choices (bias, effective and functional size, diagnosticity), Bayesian posteriors, Lee and Penrod's Multi-d' model, ROC/CAC/full ROC with pAUC comparison, calibration and decision analyses (ANRI, DPP, expected utility, Bayesian and BREE curves, RAC), expected information gain and PPV ranges, and, when Python is available, face similarity. Every result is computed by an exported r4lineups function.