Package: riskCommunicator 1.0.1

Introduction to riskCommunicator | Getting started | Installation | Description of main package function | Framingham Heart Study | Binary outcome example | Checking model fit | In the manuscript, we compare the results of gComp to standard regression models. Here, we show how to do that so we can re-create Table 2. | Rate outcome example | Rate outcome with subgroups example | The results.df component of the gComp function output is formatted as a data.frame. This makes it very easy to immediately plot the results using ggplot2 or your favorite R plotting functionality. Here's an example for plotting the results of the different subgroups (sexes) for the rate example above. | Let's make a figure comparing the results we got above using riskCommunicator with those we get using standard regression models for this rate example.

Introduction to riskCommunicator | Getting started | Installation | Description of main package function and accessing package documentation | Preparing your data | Vignette with the Framingham Heart Study | Binary (dichotomous) outcome example | Categorical exposure example | Continuous exposure example | Rate outcome example | Continuous outcome example | Count outcome example | Checking model fit | Guidance on number of bootstraps | What's going on under the hood