MVT
Estimation and Testing for the Multivariate t-Distribution
Routines to perform estimation and inference under the multivariate t-distribution doi:10.1007/s10182-022-00468-2. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.
- Version0.3-81
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- MVT citation info
- Last release09/24/2024
Documentation
Team
Felipe Osorio
Insights
Last 30 days
This package has been downloaded 352 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 30 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 4,057 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 26, 2024 with 62 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.
Data provided by CRAN
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Dependencies
- Depends1 package
- Linking To1 package