Description Usage Arguments Details Examples
View source: R/posterior_analyses.R
Embeds posterior samples using MDS and a pre-calculated distance matrix
1 2 3 4 5 6 | embed_posteriors(
tax_level = "ASV",
which_measure = "Sigma",
MAP = FALSE,
spike_in = FALSE
)
|
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 |
Distance matrix between posterior samples must be present in designated output directory
1 | embed_posteriors(tax_level="ASV", which_measure="Sigma", MAP=FALSE)
|
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