Riemann
Learning with Data on Riemannian Manifolds
We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) doi:10.1017/CBO9781139094764 for general exposition to statistics on manifolds.
- Version0.1.4
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release02/28/2022
Documentation
Team
Kisung You
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Last 30 days
This package has been downloaded 199 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 4 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 2,892 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 38 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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- Imports10 packages
- Suggests3 packages
- Linking To2 packages