bdsvd.cov.sim: Covariance Matrix Simulation for BD-SVD

In bdsvd: Block Structure Detection Using Singular Vectors

Covariance Matrix Simulation for BD-SVD

Description

This function generates covariance matrices based on the simulation studies described in Bauer (2024).

Usage

bdsvd.cov.sim(p = p, b, design = design)

Arguments

p	Number of variables.
b	Number of blocks. Only required for simulation design "c" and "d".
design	Simulation design "a", "b", "c", or "d".

Value

A covariance matrix according to the chosen simulation design.

References

Bauer, J.O. (2024). High-dimensional block diagonal covariance structure detection using singular vectors, J. Comput. Graph. Stat.

Examples

#The covariance matrix for simulation design (a) is given by
Sigma <- bdsvd.cov.sim(p = 500, b = 500, design = "a")

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