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Creates hierarchically structured candidate groups based on a distance matrix.

hierarchical_groups.Rd

Creates hierarchically structured candidate groups based on a distance matrix.

Usage

hierarchical_groups(
  samples,
  dist_matrix = NULL,
  X = NULL,
  max_pep = 1,
  max_size = 25,
  filter_sequential = FALSE
)

Arguments

samples

(N,p)-shaped array of posterior samples where a nonzero value indicates the presence of a signal.

dist_matrix

A distance matrix corresponding to distances between locations, used for hierarchical clustering.

X

The design matrix in regression problems, which will be used to create dist_matrix if dist_matrix is not provided.

max_pep

The maximum posterior error probability (PEP) allowed in a candidate group. Default is 1.

max_size

maximum allowable size for each group.

filter_sequential

If TRUE, ignore sequential groups of variables to avoid duplication.