Package: jointMeanCov 0.1.0

jointMeanCov: Joint Mean and Covariance Estimation for Matrix-Variate Data

Jointly estimates two-group means and covariances for matrix-variate data and calculates test statistics. This package implements the algorithms defined in Hornstein, Fan, Shedden, and Zhou (2018) <doi:10.1080/01621459.2018.1429275>.

Authors:Michael Hornstein [aut, cre], Roger Fan [aut], Kerby Shedden [aut], Shuheng Zhou [aut]

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jointMeanCov.pdf |jointMeanCov.html✨
jointMeanCov/json (API)

# Install 'jointMeanCov' in R:
install.packages('jointMeanCov', repos = c('https://mdhornstein.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.

1.00 score 5 scripts 148 downloads 7 exports 1 dependencies

Last updated 6 years agofrom:25d6dd573a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:GeminiBGeminiBPathjointMeanCovGroupCenjointMeanCovModSelCenjointMeanCovStabilitytheoryRowpenUpperBoundtheoryRowpenUpperBoundDiagA

Dependencies:glasso