autocorr.mat            Create auto-correlation matrix
averageCorr             Summarize correlation matrix
cov_transform           Estimate covariance matrix after applying
                        transformation
decorrelate             Decorrelation projection
dmult                   Multiply by diagonal matrix
eclairs                 Estimate covariance/correlation with low rank
                        and shrinkage
eclairs-class           Class eclairs
eclairs_corMat          Estimate covariance/correlation with low rank
                        and shrinkage
eclairs_sq              Compute eclairs decomp of squared correlation
                        matrix
fastcca-class           Class fastcca
getCov                  Get full covariance/correlation matrix from
                        eclairs
getShrinkageParams      Estimate shrinkage parameter by empirical Bayes
getWhiteningMatrix      Get whitening matrix
kappa,eclairs-method    Compute condition number
lm_each_eclairs         Fit linear model on each feature after
                        decorrelating
lm_eclairs              Fit linear model after decorrelating
logDet                  Evaluate the log determinant
mahalanobisDistance     Mahalanobis Distance
mult_eclairs            Multiply by eclairs matrix
optimal_SVHT_coef       Optimal Hard Threshold for Singular Values
plot,eclairs-method     Plot eclairs object
quadForm                Evaluate quadratic form
reform_decomp           Recompute eclairs after dropping features
rmvnorm_eclairs         Draw from multivariate normal and t
                        distributions
sv_threshold            Singular value thresholding
whiten                  Decorrelation projection + eclairs
