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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | semidist_0.1.0.tar.gz |
100.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | semidist_0.1.0.tar.gz |
101.6 KiB |
0.1.0 |
rolling source/ R- | semidist_0.1.0.tar.gz |
18.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | semidist_0.1.0.tar.gz |
100.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | semidist_0.1.0.tar.gz |
101.6 KiB |
0.1.0 |
latest source/ R- | semidist_0.1.0.tar.gz |
18.5 KiB |
0.1.0 |
2026-04-26 source/ R- | semidist_0.1.0.tar.gz |
18.5 KiB |
0.1.0 |
2026-04-23 source/ R- | semidist_0.1.0.tar.gz |
18.5 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | semidist_0.1.0.zip |
423.2 KiB |
0.1.0 |
2025-04-20 source/ R- | semidist_0.1.0.tar.gz |
18.5 KiB |