GridOnClusters
Cluster-Preserving Multivariate Joint Grid Discretization
Discretize multivariate continuous data using a grid that captures the joint distribution via preserving clusters in the original data (Wang et al. 2020) doi:10.1145/3388440.3412415. Joint grid discretization is applicable as a data transformation step to prepare data for model-free inference of association, function, or causality.
- Version0.1.0.1
- R versionunknown
- LicenseLGPL (≥ 3)
- Needs compilation?Yes
- GridOnClusters citation info
- Last release05/10/2024
Documentation
Team
Joe Song
Sajal Kumar
Jiandong Wang
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Insights
Last 30 days
This package has been downloaded 525 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 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 7,970 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Aug 07, 2024 with 84 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
- Imports8 packages
- Suggests4 packages
- Linking To1 package
- Reverse Suggests1 package