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RMT4DS (version 0.0.1)

Computation of Random Matrix Models

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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Version

Install

install.packages('RMT4DS')

Monthly Downloads

186

Version

0.0.1

License

MIT + file LICENSE

Maintainer

Xiucai Ding

Last Published

November 14th, 2022

Functions in RMT4DS (0.0.1)

GeneralMPLaw

General Marchenko-Pastur Distribution
SignalNoise

Signal-Plus-Noise Models
GeneralWM

The Wishart Maximum Eigenvalue Distribution
Limits

Limits in High-dimensional Sample Covariance
CovEst

Estimation of the Spectrum of Population Covariance Matrix
CovTest

High-dimensional Covariance Test