R: Lassoed Principal Components for Testing Significance of Features

# Lassoed Principal Components for Testing Significance of Features

## Documentation for package ‘lpc’ version 1.0.2.1

- DESCRIPTION file

## Help Pages

lpc-package | This package implements the Lassoed Principal Components (LPC) method. It is used to compute LPC scores for each gene in a microrray experiment with a survival, quantitative, or two-class outcome.
EstimateLPCFDR | Estimate LPC False Discovery Rates.
EstimateTFDR | Estimate T False Discovery Rates.
LPC | Compute LPC score for each gene
lpc | This package implements the Lassoed Principal Components (LPC) method. It is used to compute LPC scores for each gene in a microrray experiment with a survival, quantitative, or two-class outcome.
PlotFDRs | Plot FDRs for both T and LPC
PredictiveAdvantage | Plot predictive advantage of LPC vs. T
PrintGeneList | Print the list of genes with highest LPC scores