Posterior co-clustering probabilities plot — coclust.probs • bnplasso

This function plots the posterior co-clustering probabilities of the regression coefficients

Usage

coclust.probs(
  S.mcmc,
  return.mat = FALSE,
  viridis.pal = "C",
  main = NULL,
  axis.idx = NULL,
  xy.labs = NULL
)

S.mcmc: A matrix of size n.draws-by-n.preds, where each row indicates to which cluster the regression coefficients belong to.
return.mat: logical. Whether the matrix of posterior co-clustering probabilities should be returned. Default is FALSE
viridis.pal: Character describing which "viridis" palette should be employed. Options are "A", "B", "C", "D", "E", "F", "G", and "H".
main: Title of the plot.
axis.idx: Sequence of number to appear in the axis of the plot.
xy.labs: A title for the x and y axes.

Santiago Marin