semidist-package: semidist: Measure Dependence Between Categorical and...

In semidist: Measure Dependence Between Categorical and Continuous Variables

semidist: Measure Dependence Between Categorical and Continuous Variables

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2023.2284988")}; Cui and Zhong (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.csda.2019.05.004")}; Cui, Li and Zhong (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2014.920256")}.

Author(s)

Maintainer: Zhuoxi Li [e-mail] [copyright holder]

Authors:

• Wei Zhong [e-mail]

• Wenwen Guo [e-mail]

• Hengjian Cui [e-mail]

• Runze Li [e-mail]

See Also

Useful links:

• https://github.com/wzhong41/semidist

• Report bugs at https://github.com/wzhong41/semidist/issues

semidist documentation built on Nov. 21, 2023, 9:06 a.m.