see: An R Package for Visualizing Statistical Models

Abstract

The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats packages return comprehensive numeric summaries of model parameters and performance. The see package complements these numeric summaries with a host of functions and tools to produce a range of publication-ready visualizations for model parameters, predictions, and performance diagnostics. As a core pillar of easystats, the see package helps users to utilize visualization for more informative, communicable, and well-rounded scientific reporting. Statement of Need The grammar of graphics (Wilkinson, 2012), largely due to its implementation in the ggplot2 package (Wickham, 2016), has become the dominant approach to visualization in R. Building a model visualization with ggplot2 is somewhat disconnected from the model fitting and evaluation process. Generally, this process entails: 1. Fitting a model. 2. Extracting desired results from the model (e.g., model parameters and intervals, model predictions, diagnostic statistics) and arranging them into a dataframe. 3. Passing the results dataframe to ggplot() and specifying the graphical parameters. For example: library(ggplot2) # step-1 model