R: G-Computation to Estimate Interpretable Epidemiological Effects

# G-Computation to Estimate Interpretable Epidemiological Effects

## Documentation for package ‘riskCommunicator’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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
print.summary.gComp | Print a summary of a gComp class object.
riskCommunicator | riskCommunicator: Obtaining interpretable epidemiological effect estimates
summary.gComp | Print a summary of a gComp class object.