plot_effects-ubmsFit-method function

Plot Marginal Effects of Covariates

Generates marginal fixed effects plots of one or more covariates from a ubmsFit submodel. For each plot, the focal covariate is allowed to vary across its range (or possible discrete values, for a factor), while the other covariates are held at their medians or reference levels. Random effects are ignored.

## S4 method for signature 'ubmsFit'
plot_effects(
  object,
  submodel,
  covariate = NULL,
  level = 0.95,
  draws = 1000,
  smooth = NULL,
  ...
)

## S4 method for signature 'ubmsFit'
plot_marginal(
  object,
  submodel,
  covariate = NULL,
  level = 0.95,
  draws = 1000,
  smooth = NULL,
  ...
)

Arguments

• object: A fitted model of class ubmsFit
• submodel: Submodel to get plots for, for example "det"
• covariate: Plot a specific covariate; provide the name as a string
• level: Probability mass to include in the uncertainty interval
• draws: Number of draws from the posterior to use when generating the plots. If fewer than draws are available, they are all used
• smooth: Smoother span (f) value used for LOWESS smoothing of the upper and lower credible interval bounds for a continuous covariate. No smoothing is done if NULL. A reasonable value to try is 0.05. The larger the value, the smoother the curve. As with all smoothing, use with caution
• ...: Currently ignored

Returns

A ggplot if a single covariate is plotted, or an object of class grob if there are multiple covariates/panels