Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects R package sensmediation version 0.3.1 We implement functions to estimate and perform sensitivity analysis to unobserved confounding of direct and indirect effects introduced in Lindmark, de Luna and Eriksson (2018) <doi:10.1002/sim.7620> and Lindmark (2022) <doi:10.1007/s10260-021-00611-4>. The estimation and sensitivity analysis are parametric, based on probit and/or linear regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships. Software Depends: R (>= 3.5.0) Imports: maxLik (>= 1.3-4), mvtnorm (>= 1.0-8), stats Suggests: testthat (>= 2.1.0) Anita Lindmark <anita.lindmark@umu.se> Comprehensive R Archive Network (CRAN) Anita Lindmark [aut, cre] GPL-2 2024-09-26 application/tgz https://CRAN.R-project.org/package=sensmediation doi:10.32614/CRAN.package.sensmediation