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.
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release05/04/2019
Team
Michael Hornstein
Kerby Shedden
Show author detailsRolesAuthorRoger Fan
Show author detailsRolesAuthorShuheng Zhou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 106 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,648 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 22 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package
- Suggests3 packages