Man pages for RMThreshold
Signal-Noise Separation in Random 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 |
| 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... |
| rm.ev.density | Create a density plot and a histogram of the eigenvalue... |
| rm.get.threshold | Estimate an objective threshold for signal-noise separation... |
| 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 |
| RMThreshold-internal | Internal functions for the RMThreshold package |
| RMThreshold-package | Signal-Noise Separation in Correlation Matrices by using... |
