%>%                     Pipe bias functions
boot.bias               Bootstrap resampling for selection and
                        misclassification bias models.
confounders             Sensitivity analysis to correct for unknown or
                        unmeasured confounding without effect
                        modification
confounders.array       Sensitivity analysis for unmeasured confounders
                        based on confounding imbalance among exposed
                        and unexposed
confounders.emm         Sensitivity analysis to correct for unknown or
                        unmeasured confounding in the presence of
                        effect modification
confounders.evalue      Compute E-value to assess bias due to
                        unmeasured confounder.
confounders.ext         Sensitivity analysis for unmeasured confounders
                        based on external adjustment
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-package        episensr: Basic sensitivity analysis of
                        epidemiological results
mbias                   Sensitivity analysis to correct for selection
                        bias caused by M bias.
misclassification       Sensitivity analysis for disease or exposure
                        misclassification.
misclassification.cov   Sensitivity analysis for covariate
                        misclassification.
multidimBias            Multidimensional sensitivity analysis for
                        different sources of bias
multiple.bias           Extract adjusted 2-by-2 table from episensr
                        object
plot.episensr.booted    Plot of bootstrap simulation output for
                        selection and misclassification bias
plot.episensr.probsens
                        Plot(s) of probabilistic bias analyses
plot.mbias              Plot DAGs before and after conditioning on
                        collider (M bias)
print.episensr          Print associations for episensr class
print.episensr.booted   Print bootstrapped confidence intervals
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.
