Dm_finder: Function to Find the Minimum Distance Between a Class and a...

In pintervals: Model Agnostic Prediction Intervals

Function to Find the Minimum Distance Between a Class and a Set of Clusters

Description

Function to Find the Minimum Distance Between a Class and a Set of Clusters

Usage

Dm_finder(
  ncs,
  class_vec,
  class,
  clusters,
  return = c("min", "which.min", "vec")
)

Arguments

ncs	Vector of non-conformity scores
class_vec	Vector of class labels
class	Class label to compare against the clusters
clusters	List of clusters
return	Character string indicating what to return. Options are 'min' for the minimum distance, 'which.min' for the index of the cluster with the minimum distance, or 'vec' for a vector of distances to each cluster.

Value

A numeric value or vector depending on the value of the ‘return' parameter. If 'return' is ’min', returns the minimum distance. If ‘return' is ’which.min', returns the index of the cluster with the minimum distance. If ‘return' is ’vec', returns a vector of distances to each cluster.

pintervals documentation built on March 3, 2026, 5:06 p.m.