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semidist  

Measure Dependence Between Categorical and Continuous Variables
View on CRAN: Click here


Download and install semidist package within the R console
Install from CRAN:
install.packages("semidist")

Install from Github:
library("remotes")
install_github("cran/semidist")

Install by package version:
library("remotes")
install_version("semidist", "0.1.0")



Attach the package and use:
library("semidist")
Maintained by
Zhuoxi Li
[Scholar Profile | Author Map]
First Published: 2023-11-21
Latest Update: 2023-11-21
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) ; Cui and Zhong (2019) ; Cui, Li and Zhong (2015) .
How to cite:
Zhuoxi Li (2023). semidist: Measure Dependence Between Categorical and Continuous Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/semidist. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited semidist R package
View semidist citation profile
Other R packages that semidist depends, imports, suggests or enhances
Complete documentation for semidist
Functions, R codes and Examples using the semidist R package
Some associated functions: MINTsemiperm . mv . mv_sis . mv_test . print.indtest . sd_sis . sd_test . sdcov . semidist-package . switch_cat_repr . tr_estimate . 
Some associated R codes: RcppExports.R . mint.R . mv.R . semidist-package.R . semidist.R . utils.R .  Full semidist package functions and examples
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