As2Vs                   Convert low dimensional bootstrap components to
                        high dimensional bootstrap components
EEG_leadingV            Leading 5 Principal Components (PCs) from EEG
                        dataset
EEG_mu                  Functional mean from EEG dataset
EEG_score_var           Empirical variance of the first 5 score
                        variables from EEG dataset
bootPCA                 Quickly calculates bootstrap PCA results
                        (wrapper for bootSVD)
bootSVD                 Calculates bootstrap distribution of PCA (i.e.
                        SVD) results
bootSVD_LD              Calculate bootstrap distribution of
                        n-dimensional PCs
fastSVD                 Fast SVD of a wide or tall matrix
ffmatrixmult            Matrix multiplication with "ff_matrix" or
                        "matrix" inputs
genBootIndeces          Generate a random set of bootstrap resampling
                        indeces
genQ                    Generate random orthonormal matrix
getMomentsAndMomentCI   Calculate bootstrap moments and moment-based
                        confidence intervals for the PCs.
os                      Quickly print an R object's size
qrSVD                   Wrapper for 'svd', which uses random
                        preconditioning to restart when svd fails to
                        converge
reindexMatricesByK      Used for calculation of low dimensional
                        standard errors & percentiles, by re-indexing
                        the A^b by PC index (k) rather than bootstrap
                        index (b).
reindexVectorsByK       Used to study of the bootstrap distribution of
                        the k^th singular values, by re-indexing the
                        list of d^b vectors to be organized by PC index
                        (k) rather than bootstrap index (b).
simEEG                  Simulation functional EEG data
