| episensr-package | Basic sensitivity analysis of epidemiological results |
| confounders | Sensitivity analysis to correct for unknown or unmeasured confounding without effect modification |
| confounders.emm | Sensitivity analysis to correct for unknown or unmeasured confounding with effect modification |
| confounders.limit | Bounding the bias limits of unmeasured confounding. |
| confounders.poly | Sensitivity analysis to correct for unknown or unmeasured polychotomous confounding without effect modification |
| episensr | Basic sensitivity analysis of epidemiological results |
| mbias | Sensitivity analysis to correct for selection bias caused by M bias. |
| misclassification | Sensitivity analysis for misclassification. |
| multidimBias | Multidimensional sensitivity analysis for different sources of bias |
| plot.mbias | Plot DAGs before and after conditioning on collider (M bias) |
| print.mbias | Print association corrected for M bias |
| probsens | Probabilistic sensitivity analysis. |
| probsens.conf | Probabilistic sensitivity analysis for unmeasured confounding. |
| probsens.irr | Probabilistic sensitivity analysis for exposure misclassification of person-time data and random error. |
| probsens.irr.conf | Probabilistic sensitivity analysis for unmeasured confounding of person-time data and random error. |
| probsens.sel | Probabilistic sensitivity analysis for selection bias. |
| selection | Sensitivity analysis to correct for selection bias. |