The package offers functions to estimate and perform sensitivity analysis to unobserved confounding for direct and indirect effects. The estimation and sensitivity analysis are parametric, based on regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships.
Lindmark, A., de Luna, X. & Eriksson, M. (2018). Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals. Statistics in Medicine. DOI: 10.1002/sim.7620. ArXiv: arXiv:1711.10265 [math.ST]