cvCovEst1.2.2 package

Cross-Validated Covariance Matrix Estimation

adaptiveLassoEst

Adaptive LASSO Estimator

adaptiveLassoThreshold

Adaptive LASSO Thresholding Function

bandingEst

Banding Estimator

bestInClass

Showing Best Estimator Within Each Class of Estimators

checkArgs

Check Arguments Passed to cvCovEst

checkPlotSumArgs

Check Arguments Passed to plot.cvCovEst and summary.cvCovEst

computeC

Estimate C of Spiked Covariance Matrix Estimator

computeEll

Estimate Ell of Spiked Covariance Matrix Estimator

computeS

Estimate S of Spiked Covariance Matrix Estimator

cvCovEst

Cross-Validated Covariance Matrix Estimator Selector

cvEigenPlot

Eigenvalue Plot

cvFrobeniusLoss

Cross-Validation Function for Aggregated Frobenius Loss

cvMatrixFrobeniusLoss

Cross-Validation Function for Matrix Frobenius Loss

cvMatrixMetrics

Matrix Metrics for cvCovEst Object

cvMultiMelt

Multiple Heat Map Plot

cvRiskByClass

Summary Statistics of Cross-Validated Risk by Estimator Class

cvRiskPlot

Cross-Validated Risk Plot

cvScaledMatrixFrobeniusLoss

Cross-Validation Function for Scaled Matrix Frobenius Loss

cvSummaryPlot

Summary Plot

denseLinearShrinkEst

Linear Shrinkage Estimator, Dense Target

estAttributes

Estimator Attributes Function

estimateNoise

Estimate Noise in Spiked Covariance Matrix Model

getHypers

Hyperparameter Retrieval Function

hyperRisk

Summarize Cross-Validated Risks by Class with Hyperparameter

is.cvCovEst

Check for cvCovEst Class

linearShrinkEst

Linear Shrinkage Estimator

linearShrinkLWEst

Ledoit-Wolf Linear Shrinkage Estimator

matrixMetrics

General Matrix Metrics

multiHyperRisk

Multi-Hyperparameter Risk Plots

nlShrinkLWEst

Analytical Non-Linear Shrinkage Estimator

plot.cvCovEst

Generic Plot Method for cvCovEst

plotAdaptiveLassoEst

Plot adaptiveLassoEst

plotPoetEst

Plot poetEst

plotRobustPoetEst

Plot robustPoetEst

poetEst

POET Estimator

robustPoetEst

Robust POET Estimator for Elliptical Distributions

safeColScale

Safe Centering and Scaling of Columns

sampleCovEst

Sample Covariance Matrix

scadEst

Smoothly Clipped Absolute Deviation Estimator

scadThreshold

Smoothly Clipped Absolute Deviation Thresholding Function

scaleEigVals

Extract Estimated Scaled Eigenvalues in Spiked Covariance Matrix Model

spikedFrobeniusShrinkEst

Frobenius Norm Shrinkage Estimator, Spiked Covariance Model

spikedOperatorShrinkEst

Operator Norm Shrinkage Estimator, Spiked Covariance Model

spikedSteinShrinkEst

Stein Loss Shrinkage Estimator, Spiked Covariance Model

strToNumber

Convert String to Numeric or Integer When Needed

summary.cvCovEst

Generic Summary Method for cvCovEst

taperingEst

Tapering Estimator

theme_cvCovEst

cvCovEst Plot Theme

thresholdingEst

Hard Thresholding Estimator

An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of high-dimensional loss-based covariance matrix estimator selection developed by Boileau et al. (2022) <doi:10.1080/10618600.2022.2110883> to identify the optimal estimator from among a prespecified set of candidates.

  • Maintainer: Philippe Boileau
  • License: MIT + file LICENSE
  • Last published: 2024-02-17