CovarianceEstimation.jl
Lightweight robust covariance estimation in Julia.
A package for robustly estimating covariance matrices of real-valued data.
Package Features
- Standard corrected and uncorrected covariance estimators,
- Linear and Nonlinear shrinkage estimators, including estimators for covariance matrices too large to store in dense form
- Focus on speed and lightweight dependencies
Manual outline
Library Outline
Index
CovarianceEstimation.AnalyticalNonlinearShrinkage
CovarianceEstimation.BiweightMidcovariance
CovarianceEstimation.CommonCovariance
CovarianceEstimation.ConstantCorrelation
CovarianceEstimation.DiagonalCommonVariance
CovarianceEstimation.DiagonalUnequalVariance
CovarianceEstimation.DiagonalUnitVariance
CovarianceEstimation.LinearShrinkage
CovarianceEstimation.NormLossCov
CovarianceEstimation.PerfectPositiveCorrelation
CovarianceEstimation.StatLossCov
CovarianceEstimation.WoodburyEstimator
Statistics.cov