Causal Mediation Analysis with Diagnostics and Sensitivity Analysis // Provides tools for causal mediation analysis with continuous treatments using inverse probability weighting (IPW). Estimates natural direct and indirect effects over a user-defined treatment grid and supports flexible dose-response mediation analysis. Includes diagnostic procedures for assessing covariate balance in both treatment and mediator models using standardized mean differences. Implements pathway- specific extensions of the impact threshold for a confounding variable (ITCV; Frank, 2000 doi:10.1177/0049124100029002001) adapted to mediation settings. Provides joint sensitivity analysis combining E-values (VanderWeele and Ding, 2017 doi:10.7326/M16-2607) and violations of sequential ignorability (Imai, Keele, and Yamamoto, 2010 doi:10.1214/10-STS321). Additional utilities include visualization of dose-response mediation functions, robustness profiles, fragility summaries, and formatted outputs for applied research. Supports clustered data structures and multiple outcome families.