semidist
Measure Dependence Between Categorical and Continuous Variables
Semi-distance and mean-variance (MV) index are proposed to measure the dependence between a categorical random variable and a continuous variable. Test of independence and feature screening for classification problems can be implemented via the two dependence measures. For the details of the methods, see Zhong et al. (2023) doi:10.1080/01621459.2023.2284988; Cui and Zhong (2019) doi:10.1016/j.csda.2019.05.004; Cui, Li and Zhong (2015) doi:10.1080/01621459.2014.920256.
- Version0.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release11/21/2023
Documentation
Team
Zhuoxi Li
Wei Zhong
Show author detailsRolesAuthorRunze Li
Show author detailsRolesAuthorHengjian Cui
Show author detailsRolesAuthorWenwen Guo
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 135 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 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 1,810 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 Jan 22, 2025 with 33 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
Binaries
Dependencies
- Imports5 packages
- Suggests1 package
- Linking To2 packages