Man pages for EESPCA
Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)

ComputeApproxNormSquaredEigenvectorApproximates the normed squared eigenvector loadings
ComputeResidualMatrixCalculates the residual matrix from the reduced rank...
EESPCAEigenvectors from Eigenvalues Sparse Principal Component...
EESPCACVCross-validation for Eigenvectors from Eigenvalues Sparse...
EESPCAForKMulti-PC version of Eigenvectors from Eigenvalues Sparse...
EESPCA-packageEigenvectors
PowerIterationPower iteration method for calculating principal eigenvector...
ReconstructCalculates the reduced rank reconstruction
ReconstructionErrorCalculates the reduced rank reconstruction error
RifleInitComputes the initial eigenvector for the rifle method of Tan...
RiflePCACVSparsity parameter selection via cross-validation for rifle...
TpowerImplementation of the Yuan and Zhang TPower method.
TpowerPCACVSparsity parameter selection for the Yuan and Zhang TPower...
EESPCA documentation built on June 16, 2022, 1:07 a.m.