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RMThreshold

Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis

v1.1 · Jun 23, 2016 · GPL

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.

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CRAN incoming feasibility

Maintainer: ‘Uwe Menzel <uwemenzel@gmail.com>’

No Authors@R field in DESCRIPTION.
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  Authors@R: person(given = "Uwe",
                    family = "Menzel",
                    role = c("aut", "cre"),
                    email = "uwemenzel@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Uwe Menzel <uwemenzel@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Uwe",
                    family = "Menzel",
                    role = c("aut", "cre"),
                    email = "uwemenzel@gmail.com")
as necessary.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Uwe Menzel <uwemenzel@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Uwe",
                    family = "Menzel",
                    role = c("aut", "cre"),
                    email = "uwemenzel@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Uwe Menzel <uwemenzel@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Uwe",
                    family = "Menzel",
                    role = c("aut", "cre"),
                    email = "uwemenzel@gmail.com")
as necessary.

Dependency Network

Dependencies Reverse dependencies Matrix png RMThreshold

Version History

new 1.1 Mar 10, 2026
updated 1.1 ← 1.0 diff Jun 22, 2016
new 1.0 Jun 20, 2016