%>%                     Pipe bias functions
boot_bias               Bootstrap resampling for selection and
                        misclassification bias models.
confounders             Uncontrolled confounding
confounders_array       Sensitivity analysis for unmeasured confounders
                        based on confounding imbalance among exposed
                        and unexposed
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.
mbias                   Sensitivity analysis to correct for selection
                        bias caused by M bias.
misclass                Misclassification of exposure or outcome
misclass_cov            Covariate misclassification
multidimBias            Multidimensional sensitivity analysis for
                        different sources of bias
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.conf_legacy    Legacy version of 'probsens.conf()'.
probsens.irr.conf_legacy
                        Legacy version of 'probsens.irr.conf()'.
probsens.irr_legacy     Legacy version of 'probsens.irr()'.
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_legacy         Legacy version of 'probsens()'.
selection               Selection bias.
