| cvdd | A subset of the 'framingham' teaching data |
| framingham | The 'framingham' data set |
| gComp | Estimate difference and ratio effects with 95% confidence intervals. |
| get_results_dataframe | Take predicted dataframe and calculate the outcome (risk difference/ratio, incidence rate difference/ratio, mean difference, and/or number needed to treat) |
| make_predict_df | Using 'glm' results, predict outcomes for each individual at each level of treatment/exposure |
| plot.gComp | Plot estimates of difference and ratio effects obtained in the bootstrap computations of the g-computation |
| pointEstimate | Perform g-computation to estimate difference and ratio effects of an exposure |
| print.gComp | Print estimates of difference and ratio effects obtained in the bootstrap computations of the g-computation |
| riskCommunicator | riskCommunicator: Obtaining interpretable epidemiological effect estimates |