linearShrinkLWEst: Ledoit-Wolf Linear Shrinkage Estimator

In cvCovEst: Cross-Validated Covariance Matrix Estimation

Ledoit-Wolf Linear Shrinkage Estimator

Description

linearShrinkLWEst() computes an asymptotically optimal convex combination of the sample covariance matrix and the identity matrix. This convex combination effectively shrinks the eigenvalues of the sample covariance matrix towards the identity. This estimator is more accurate than the sample covariance matrix in high-dimensional settings under fairly loose assumptions. For more information, consider reviewing the manuscript by \insertCiteLedoit2004;textualcvCovEst.

Usage

linearShrinkLWEst(dat)

Arguments

dat	A numeric data.frame, matrix, or similar object.

Value

A matrix corresponding to the Ledoit-Wolf linear shrinkage estimate of the covariance matrix.

References

\insertAllCited

Examples

linearShrinkLWEst(dat = mtcars)

cvCovEst documentation built on May 29, 2024, 5:51 a.m.