GRelevance
Graph-Based k-Sample Comparisons and Relevance Analysis in High Dimensions
We propose two distribution-free test statistics based on between-sample edge counts and measure the degree of relevance by standardized counts. Users can set edge costs in the graph to compare the parameters of the distributions. Methods for comparing distributions are as described in: Xiaoping Shi (2021) doi:10.48550/arXiv.2107.00728.
- Version1.0
- R version≥ 2.10
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release02/22/2023
Documentation
Team
Xiaoping Shi
Insights
Last 30 days
This package has been downloaded 174 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 3 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 2,364 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 11, 2024 with 28 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
- Imports3 packages