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GRelevance  

Graph-Based k-Sample Comparisons and Relevance Analysis in High Dimensions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GRelevance", "1.0")



Attach the package and use:
library("GRelevance")
Maintained by
Xiaoping Shi
[Scholar Profile | Author Map]
First Published: 2023-02-22
Latest Update: 2023-02-22
Description:
We propose two distribution-free test statistics based on between-sample edge counts and measure the degree of relevance by standardized counts. Users can set edge costs in the graph to compare the parameters of the distributions. Methods for comparing distributions are as described in: Xiaoping Shi (2021) .
How to cite:
Xiaoping Shi (2023). GRelevance: Graph-Based k-Sample Comparisons and Relevance Analysis in High Dimensions. R package version 1.0, https://cran.r-project.org/web/packages/GRelevance. Accessed 22 Feb. 2025.
Previous versions and publish date:
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Complete documentation for GRelevance
Functions, R codes and Examples using the GRelevance R package
Full GRelevance package functions and examples
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