methods.summaryDPMMclust: Methods for a summary of a 'DPMMclust' object
In NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

Methods for a summary of a DPMMclust object

## S3 method for class 'summaryDPMMclust'
print(x, ...)

## S3 method for class 'summaryDPMMclust'
plot(
  x,
  hm = FALSE,
  nbsim_densities = 5000,
  hm_subsample = NULL,
  hm_order_by_clust = TRUE,
  gg.add = list(theme_bw()),
  ...
)

`x`	a `summaryDPMMclust` object.
`...`	further arguments passed to or from other methods
`hm`	logical flag to plot the heatmap of the similarity matrix. Default is `FALSE`.
`nbsim_densities`	the number of simulated observations to be used to plot the density lines of the clusters in the point estimate partition plot
`hm_subsample`	a integer designating the number of observations to use when plotting the heatmap. Used only if `hm` is `TRUE`. #'Default is `NULL` in which no subsampling is done and all observations are plotted.
`hm_order_by_clust`	logical flag indicating whether observations should be ordered according to the point estimate first. Used only if `hm` is `TRUE`. Default is `TRUE`.
`gg.add`	a list of instructions to add to the `ggplot2` instruction (see `gg-add`). Default is `list(theme())`, which adds nothing to the plot.