get_cpt_neighbors: Estimate the number of similar subjects

In tip: Bayesian Clustering Using the Table Invitation Prior (TIP)

Estimate the number of similar subjects

Description

Estimate the number of similar subjects using univariate multiple change point detection (i.e., binary segmentation in the changepoint package).

Usage

get_cpt_neighbors(.distance_matrix)

Arguments

.distance_matrix

Matrix: a symmetric n x n matrix of distance values.

Value

Vector of positive integers: a vector of positive integers where the (i)th integer corresponds to the number of subjects (observations) that are similar to the (i)th subject.

Examples

# Import the tip library
library(tip)

# Choose an arbitrary random seed
set.seed(007)

# Generate some data (i.e., 20 subjects described by a 5 x 1 vector)
X <- matrix(rnorm(10*10),nrow=20,ncol=5)

# Compute the pairwise distances between the subjects
distance_matrix <- data.matrix(dist(X))

# For each subject, find the estimate for the number of similar subjects
get_cpt_neighbors(.distance_matrix = distance_matrix)

tip documentation built on Nov. 15, 2022, 1:05 a.m.