embed_posteriors: Embeds posterior samples using MDS and a pre-calculated...

In kimberlyroche/ROL: What the package does (short line)

Description

Embeds posterior samples using MDS and a pre-calculated distance matrix

Usage

embed_posteriors(
  tax_level = "ASV",
  which_measure = "Sigma",
  MAP = FALSE,
  spike_in = FALSE
)

Arguments

tax_level	taxonomic level at which to agglomerate data
which_measure	estimated object to embed, either Lambda or Sigma
MAP	use MAP estimate model output instead of full posterior output
spike_in	copy and permute the samples and calculate distances to these too, so as to give upper bound on distances

Details

Distance matrix between posterior samples must be present in designated output directory

Examples

embed_posteriors(tax_level="ASV", which_measure="Sigma", MAP=FALSE)

kimberlyroche/ROL documentation built on Dec. 10, 2020, 2:18 a.m.