API map

eyeprocesspy preparation

• prepare_multilevel_mediation_data()
• validate_multilevel_mediation_data()
• identify_mediation_levels()
• decompose_within_between()
• center_within_participant()
• summarise_within_between_variance()
• audit_mediation_missingness()
• check_mediation_trial_counts()
• add_multilevel_mediation_component()

gp3bayespy inference

• create_mediation_prior_specification()
• specify_multilevel_gaze_mediation()
• fit_multilevel_gaze_mediation()
• estimate_indirect_effect()
• estimate_within_indirect_effect()
• estimate_between_indirect_effect()
• posterior_indirect_effect()
• posterior_direct_effect()
• posterior_total_effect()
• summarise_multilevel_mediation()
• compare_multilevel_mediation_models() — PSIS-LOO comparison; requires identical ordered mediator/outcome observations across fits.
• check_mediation_convergence()
• prior_predictive_check_mediation()
• posterior_predictive_check_mediation()
• plot_mediation_posteriors()
• plot_indirect_effect_distribution()
• plot_participant_mediation_effects()
• report_multilevel_gaze_mediation()
• specify_multilevel_serial_gaze_mediation()
• fit_multilevel_serial_gaze_mediation()
• posterior_serial_indirect_effect()
• specify_multilevel_moderated_gaze_mediation()
• fit_multilevel_moderated_gaze_mediation()
• posterior_conditional_indirect_effect()

Generated full module reference

For signatures, parameter documentation, return contracts, and source-linked docstrings, use the generated multilevel mediation API reference.