| Name : R-RMThreshold
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:17:48
|
| Group : Development/Libraries/Other
| Source RPM : R-RMThreshold-1.1-lp153.2.13.src.rpm
|
| Size : 0.66 MB
| |
| Packager : (none)
| |
| Summary : Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis
|
Description :
An algorithm which can be used to determine an objective threshold for
signal-noise separation in large random matrices (correlation matrices,
mutual information matrices, network adjacency matrices) is provided.
The package makes use of the results of Random Matrix Theory (RMT). The
algorithm increments a suppositional threshold monotonically, thereby
recording the eigenvalue spacing distribution of the matrix. According
to RMT, that distribution undergoes a characteristic change when the
threshold properly separates signal from noise. By using the algorithm,
the modular structure of a matrix - or of the corresponding network -
can be unraveled.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
