The article introduces an R package and a Shiny application designed to automate the visual assessment of residual plots for linear models, addressing the scalability and consistency issues inherent in manual evaluation.

  • The tool utilizes a computer vision model to predict a Visual Signal Strength (VSS) from a sample of residuals.
  • An accompanying Shiny application is provided to facilitate ease of use for analysts.
  • The system offers supporting information to help users assess model fit without relying on subjective manual inspection.