Function reference • causens

All functions

bayesian_causens(): Bayesian parametric sensitivity analysis for causal inference

causens(): Causal Effect Estimation with Sensitivity Analysis

create_jags_model(): Create an JAGS model for Bayesian sensitivity analysis

gData_U_binary_Y_binary(): Generate data with a binary unmeasured confounder and binary outcome

gData_U_binary_Y_cont(): Generate data with a binary unmeasured confounder and continuous outcome

gData_U_cont_Y_binary(): Generate data with a continuous unmeasured confounder and a binary outcome

gData_U_cont_Y_cont(): Generate data with a continuous unmeasured confounder and continuous outcome

plot_causens(): Plot ATE with respect to sensitivity function value when it is constant, i.e. c(1, e) = c1 and c(0, e) = c0.

sf(): Calculate sensitivity of treatment effect estimate to unmeasured confounding

simulate_data(): Generate data with unmeasured confounder