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A simulation-based methodology allowing the user to evaluate the impact of marginal effects changing one covariate at a time or by taking into consideration the joint effects of distributions of correlated covariates is introduced along with an associated R package that include an R Shiny application to streamline the design of plots that help. In a marginal plot, look at the graphs in the margins for indicators of skewed data. For example, the following graphs with right-skewed data show wait times. Most of the wait times are relatively short, and only a few wait times are long. The following graphs with left-skewed data show failure time data.

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