R: Computation of Random Matrix Models

# Computation of Random Matrix Models

## Documentation for package ‘RMT4DS’ version 0.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

CovarianceTest | High-dimensional Covariance Test
cov_spike | Limits in High-dimensional Sample Covariance
dgmp | General Marchenko-Pastur Distribution
dWishartMax | The Wishart Maximum Eigenvalue Distribution
GetRank | Signal-Plus-Noise Models
MomentEst | Estimation of the Spectrum of Population Covariance Matrix
MPEst | Estimation of the Spectrum of Population Covariance Matrix
MP_vector_dist | Limits in High-dimensional Sample Covariance
MultiSampleCovTest | High-dimensional Covariance Test
OneSampleCovTest | High-dimensional Covariance Test
pgmp | General Marchenko-Pastur Distribution
pWishartMax | The Wishart Maximum Eigenvalue Distribution
qgmp | General Marchenko-Pastur Distribution
quadratic | Limits in High-dimensional Sample Covariance
qWishartMax | The Wishart Maximum Eigenvalue Distribution
rgmp | General Marchenko-Pastur Distribution
rWishartMax | The Wishart Maximum Eigenvalue Distribution
ScreeNot | Signal-Plus-Noise Models
signal_value | Signal-Plus-Noise Models
signal_vector | Signal-Plus-Noise Models
StepWiseSVD | Signal-Plus-Noise Models
TwoSampleCovTest | High-dimensional Covariance Test