FastHCS Robust Algorithm for Principal Component Analysis


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Documentation for package ‘FastHCS’ version 0.0.6

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compPcaParams Computes the center vector, eigenvalues and loading matrix corresponding to a PCA model of a data matrix with respect to a subset of observations in a data set
DnaAlteration Cytosine methylation beta values for a sample of 198 non-pathological human tissue specimens.
FastHCS Performs the FastHCS algorithm for robust PCA.
FHCSkernelEVD Carries out the kernelEVD algorithm for data reduction
FHCSnumStarts Computes the number of starting q-subsets
FHCSpsdo Computes the univariate MCD estimator of scatter
MultipleFeatures Fourier coefficients describing the shape of many hand written replications of the numerals '0' and '1'.
plot.FastHCS Robust diagnostic plots for FastHCS
signFlip Carries out the signflip adjustment of a loadings matrix
Tablets Near-infrared (NIR) spectroscopy of a sample of 310 tablets.