Plot residual-implied annual effects — plot_implied

Display the fixed baseline and local residual-implied trajectories. This restores the effect-scale question of the historical plot, with an explicit traditional option. Use plot_grouped_residuals() for grouped PIT scores.

Usage

plot_implied_residuals(fit, colour = "purple4", ncol = 3L, ...)

# S3 method for class 'influ_implied'
plot(x, ...)

# S3 method for class 'influ_implied'
autoplot(object, ...)

Arguments

fit: An influ_implied result or a supported fitted model.
colour: Colour of implied-effect points, lines, and intervals.
ncol: Number of facet columns, default three.
...: Calculation arguments passed to implied_effects() for a fitted model, including method = "traditional". Not accepted for stored results: calculate a separate result to change its method, interval, or baseline.
x, object: An `influ_implied` result.

Value

A ggplot. Its data retain every stratum and its status; metadata describe the effect scale and conditional interpretation.

Examples

data(lobsters_per_pot)
fit <- glm(lobsters ~ year + month + depth, family = poisson(),
  data = lobsters_per_pot)
plot_implied_residuals(fit, groups = "month")