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FastHCS (version 0.0.7)

Robust Algorithm for Principal Component Analysis

Description

The FastHCS algorithm of Schmitt and Vakili (2015) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.

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Version

Install

install.packages('FastHCS')

Monthly Downloads

80

Version

0.0.7

License

GPL (>= 2)

Maintainer

Vakili Kaveh

Last Published

May 10th, 2020

Functions in FastHCS (0.0.7)

signFlip

Carries out the signflip adjustment of a loadings matrix
FHCSpsdo

Computes the univariate MCD estimator of scatter
plot.FastHCS

Robust diagnostic plots for FastHCS
FHCSnumStarts

Computes the number of starting q-subsets
DnaAlteration

Cytosine methylation beta values for a sample of 198 non-pathological human tissue specimens.
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
Tablets

Near-infrared (NIR) spectroscopy of a sample of 310 tablets.
FastHCS

Performs the FastHCS algorithm for robust PCA.
FHCSkernelEVD

Carries out the kernelEVD algorithm for data reduction
FastHCS-package

Package implementing the FastHCS robust PCA algorithm.
MultipleFeatures

Fourier coefficients describing the shape of many hand written replications of the numerals '0' and '1'.