# Robust Algorithm for Principal Component Analysis

## Documentation for package ‘FastHCS’ version 0.0.5

- DESCRIPTION file.

## Help Pages

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.