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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>.
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Package details |
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| Author | Wei Zhong [aut], Zhuoxi Li [aut, cre, cph], Wenwen Guo [aut], Hengjian Cui [aut], Runze Li [aut] |
| Maintainer | Zhuoxi Li <chainchei@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/wzhong41/semidist |
| Package repository | View on CRAN |
| Installation |
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