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RMT4DS

Computation of Random Matrix Models

v0.0.1 · Nov 14, 2022 · MIT + file LICENSE

Description

We generate random variables following general Marchenko-Pastur distribution and Tracy-Widom distribution. We compute limits and distributions of eigenvalues and generalized components of spiked covariance matrices. We give estimation of all population eigenvalues of spiked covariance matrix model. We give tests of population covariance matrix. We also perform matrix denoising for signal-plus-noise model.

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dependencies in R code

Namespace in Imports field not imported from: ‘quadprog’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘quadprog’
  All declared Imports should be used.
OK r-devel-macos-arm64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘quadprog’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘quadprog’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies MASS RMTstat lpSolve mpoly nleqslv pracma rARPACK rootSolve quadprog RMT4DS

Version History

new 0.0.1 Mar 9, 2026