sensmediation
Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.1 |
rolling linux/jammy R-4.5 | sensmediation_0.3.1.tar.gz |
228.2 KiB |
0.3.1 |
rolling linux/noble R-4.5 | sensmediation_0.3.1.tar.gz |
228.1 KiB |
0.3.1 |
rolling source/ R- | sensmediation_0.3.1.tar.gz |
42.7 KiB |
0.3.1 |
latest linux/jammy R-4.5 | sensmediation_0.3.1.tar.gz |
228.2 KiB |
0.3.1 |
latest linux/noble R-4.5 | sensmediation_0.3.1.tar.gz |
228.1 KiB |
0.3.1 |
latest source/ R- | sensmediation_0.3.1.tar.gz |
42.7 KiB |
0.3.1 |
2026-04-26 source/ R- | sensmediation_0.3.1.tar.gz |
42.7 KiB |
0.3.1 |
2026-04-23 source/ R- | sensmediation_0.3.1.tar.gz |
42.7 KiB |
0.3.1 |
2026-04-09 windows/windows R-4.5 | sensmediation_0.3.1.zip |
231.8 KiB |
0.3.1 |
2025-04-20 source/ R- | sensmediation_0.3.1.tar.gz |
42.7 KiB |