keyness_stats: Generate cluster keyness statistics from a clustering result
In juba/umapscan: UMAP and DBSCAN Pragmatic and Supervised clustering

Generate cluster keyness statistics from a clustering result

keyness_stats(
  groups,
  data,
  keyness_measure = c("chi2", "lr", "exact", "pmi"),
  n_terms = 15,
  show_negative = TRUE,
  max_p = 0.05
)

`groups`	groups membership computed by `clust_membership`
`data`	object used to compute the clustering
`keyness_measure`	statistics to compute
`n_terms`	number of terms to display in keyness plots
`show_negative`	if TRUE, show negative keyness features
`max_p`	maximum keyness statistic p-value