RMThreshold-package     Signal-Noise Separation in Correlation Matrices
                        by using Eigenvalue Spectrum Analysis
add.Gaussian.noise      Add Gaussian noise to a matrix
create.rand.mat         Create a real-valued, symmetric random matrix
kb.distance             Internal functions for the RMThreshold package
rm.connections          Create ordered list of largest matrix elements
rm.denoise.mat          Remove noise from a random matrix by applying a
                        threshold
rm.discard.zeros        Discard rows and columns from a matrix that
                        exclusively contain zero-valued off-diagonal
                        matrix elements
rm.ev.density           Create a density plot and a histogram of the
                        eigenvalue distribution
rm.get.threshold        Estimate an objective threshold for
                        signal-noise separation in random matrices
rm.matrix.validation    Validate input matrix prior to threshold
                        computation
rm.show.plots           Display a sequence of plots on screen
rm.spacing.distribution
                        Plot the empirical distribution of the
                        eigenvalue spacings
