R: Partial Correlation Coefficient with Information Theory

# Partial Correlation Coefficient with Information Theory

## Documentation for package ‘PCIT’ version 1.5-3

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

PCIT-package | Partial Correlation coefficient with Information Theory (PCIT)
clusteringCoefficient | Calculate the clustering coefficient
clusteringCoefficientPercent | Calculate the clustering coefficient as a percentage
data | Demo Data
defineTasks | Define a list of tasks for slave CPUs
getEdgeList | Converts an adjacency matrix into edge list representation
idx | Get indicies for significant edges
idxInvert | Invert linear indices from a matrix
localClusteringCoefficient | Calculate the local clustering coefficient
m | Demo Data
maxMatrixSize | Calculate the maximum correlation matrix size which PCIT can handle
PCIT | Partial Correlation coefficient with Information Theory (PCIT)
pcit | Apply the PCIT algorithm
pcitMemoryRequirement | Calculate the memory requirement for running PCIT
plotCorCoeff | Plot superimposed histograms of correlation coefficients