hcsvd.cor.sim: Correlation Matrix Simulation for HC-SVD

In bdsvd: Block Structure Detection Using Singular Vectors

Correlation Matrix Simulation for HC-SVD

Description

This function generates correlation matrices based on the simulation studies described in Bauer (202X).

Usage

hcsvd.cor.sim(p = p, b = b, design = design)

Arguments

p	Number of variables.
b	Number of blocks.
design	Simulation design "a" or "b".

Value

A correlation matrix according to the chosen simulation design.

References

Bauer, J.O. (202X). Divisive hierarchical clustering identified by singular vectors.

Examples

#The correlation matrix for simulation design (a) is given by
#R <- hcsvd.cov.sim(p = 40, b = 5, design = "a")

bdsvd documentation built on April 3, 2025, 10:27 p.m.