Fit the eigenvalue spectrum to model
Order matrix elements based on rownames and/or colnames
Expand a matrix to larger dimensions, filling in new entries
Get the bounds of the eigenvalues for the given model
Calculate the upper bound of the noise spectrum
Get the density for the given random matrix model
Generation of random matrices
Select a portion of a matrix based on a regular expression of the row and/or
column names.
Peek inside a matrix or vector
Print a random matrix ensemble
Create a matrix from a triplet representation
Perform the conjugate transpose of a matrix
A collection of matrix manipulation functions
Type constructors for random matrices and ensembles of random matrices
Generate random complex numbers
Read a sparse matrix from a file and return a matrix