Package: RMT4DS 0.0.1

RMT4DS: Computation of Random Matrix Models

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.

Authors:Xiucai Ding [aut, cre, cph], Yichen Hu [aut, cph]

RMT4DS_0.0.1.tar.gz
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RMT4DS.pdf |RMT4DS.html
RMT4DS/json (API)
NEWS

# Install 'RMT4DS' in R:
install.packages('RMT4DS', repos = c('https://xcding1212.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 120 downloads 21 exports 56 dependencies

Last updated 2 years agofrom:ec4ed0fe2a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:cov_spikedgmpdWishartMaxGetRankMomentEstMP_vector_distMPEstMultiSampleCovTestOneSampleCovTestpgmppWishartMaxqgmpquadraticqWishartMaxrgmprWishartMaxScreeNotsignal_valuesignal_vectorStepWiseSVDTwoSampleCovTest

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegmpgtableisobandlabelinglatticelifecyclelpSolvemagrittrMASSmathjaxrMatrixmgcvmpolymunsellnleqslvnlmeorthopolynompartitionspillarpkgconfigplyrpolynompracmapurrrquadprogR6rARPACKrbibutilsRColorBrewerRcppRcppEigenRdpackrlangRMTstatrootSolveRSpectrascalessetsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

how-to-use

Rendered fromhow-to-use.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2022-11-14
Started: 2022-11-14

Readme and manuals

Help Manual

Help pageTopics
Estimation of the Spectrum of Population Covariance MatrixMomentEst MPEst
High-dimensional Covariance TestCovarianceTest MultiSampleCovTest OneSampleCovTest TwoSampleCovTest
General Marchenko-Pastur Distributiondgmp pgmp qgmp rgmp
The Wishart Maximum Eigenvalue DistributiondWishartMax pWishartMax qWishartMax rWishartMax
Limits in High-dimensional Sample Covariancecov_spike MP_vector_dist quadratic
Signal-Plus-Noise ModelsGetRank ScreeNot signal_value signal_vector StepWiseSVD