posterior_beeswarm: Create a posterior beeswarm plot
In andrewGhazi/malacoda: Bayesian Analysis of High-Throughput Genomic Assays

Description Usage Arguments Value Note Examples

Create a combined beeswarm & activity posterior plot

posterior_beeswarm(
  sampler_result,
  variant_activities,
  color_by_sample = FALSE,
  verbose = TRUE,
  adjust = 1.5
)

`sampler_result`	a stanfit object
`variant_activities`	a dataframe of activities (only for the same variant as sampler_result)
`color_by_sample`	optional logical indicating whether to color dots by sample
`verbose`	logical indicating whether to print messages
`adjust`	violin bandwidth adjustment. See ?ggplot2::geom_violin

a posterior beeswarm ggplot object

sampler_result objects are written by fit_mpra_model to the out_dir argument for each variant_id

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variant_activities = activities_example[activities_example$variant_id == '6_135426558_2-3',]
posterior_beeswarm(example_posterior,
                   variant_activities)