G-Computation to Estimate Interpretable Epidemiological Effects

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Documentation for package ‘riskCommunicator’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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.