semidist

Measure Dependence Between Categorical and Continuous Variables

CRAN Package

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.


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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.

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0 downloadsMar 2, 2025
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4 downloadsMar 5, 2025
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3 downloadsApr 1, 2025
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2 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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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


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Dependencies

  • Imports5 packages
  • Suggests1 package
  • Linking To2 packages