A framework redefines visualization components for random variable inputs to obey the continuous mapping theorem and is implemented in the ggdibbler ggplot2 extension.
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An R package uses computer vision to predict visual signal strength for automating residual plot assessment in linear model diagnostics.
citing papers explorer
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A Mathematical Framework and Software Implementation for Uncertainty Visualisation
A framework redefines visualization components for random variable inputs to obey the continuous mapping theorem and is implemented in the ggdibbler ggplot2 extension.
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Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
An R package uses computer vision to predict visual signal strength for automating residual plot assessment in linear model diagnostics.