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Multiple-ribbon plot for model predictions

Usage

mc_obs_ribbon(..., scale_fill = ggplot2::scale_fill_brewer(palette = 1))

mc_model_ribbon(
  ...,
  scale_fill = ggplot2::scale_fill_brewer(palette = 7),
  n_sample = NA,
  draw = "collapse"
)

Arguments

...

Augments passed to ggdist::stat_ribbon.

scale_fill

The scale_fill_* layer for ribbon Default to be ggplot2::scale_fill_brewer().

n_sample

The number of sample of draws to show in ribbon plot. Default NA. If n_sample is NA, then mc_model_ribbon() will use all draws from posterior distribution.

draw

How to show draws? Default "collapse". If draw is "collapse", then all draws are collapsed together to show in one ribbon plot; if draw is "group", then each draw is shown in an individual ribbon plot; if draw is "hops", then mc_model_ribbon() will use animation to show each draw in one frame; if draw is an function, then all draws are aggregated by draw(). See examples for more details.