Causal Mediation Analysis with Diagnostics and Sensitivity Analysis R package RobustMediate version 0.1.1 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. Software Depends: R (>= 4.1.0) Imports: cli, ggplot2 (>= 3.4.0), rlang, scales, stats, broom Suggests: covr, dplyr, knitr, lme4, pkgdown, rmarkdown, splines, testthat (>= 3.0.0), tidyr Subir Hait <haitsubi@msu.edu> Comprehensive R Archive Network (CRAN) Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) MIT + file LICENSE (https://CRAN.R-project.org/package=RobustMediate/LICENSE) 2026-04-16 application/tgz https://CRAN.R-project.org/package=RobustMediate doi:10.32614/CRAN.package.RobustMediate