jointMeanCov

Joint Mean and Covariance Estimation for Matrix-Variate Data

v0.1.0 · May 4, 2019 · GPL-2

Description

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>.

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3 NOTE

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	25s
r-devel-linux-x86_64-debian-gcc	OK	20.7s
r-devel-linux-x86_64-fedora-clang	OK	39.2s
r-devel-linux-x86_64-fedora-gcc	OK	34.1s
r-devel-macos-arm64	OK	10s
r-devel-windows-x86_64	OK	47s
r-oldrel-macos-arm64	NOTE
r-oldrel-macos-x86_64	NOTE	22s
r-oldrel-windows-x86_64	NOTE	54s
r-patched-linux-x86_64	OK	22.5s
r-release-linux-x86_64	OK	21.8s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	29s
r-release-windows-x86_64	OK	48s

Check details (3 non-OK)

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LazyData

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NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory

NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory

NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory

NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

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Version History

new 0.1.0 Mar 10, 2026