What is CADET?
CADET is an R package for testing for a difference in means for a given feature between clusters of observations identified via hierarchical or k-means clustering.
This package, as well as its underlying methodology, is motivated by the practical need to interpret and validate groups of observations obtained via clustering. In this case, a common validation approach involves testing differences in feature means between observations in two estimated clusters. However, classical hypothesis tests lead to an inflated Type I error rate, because the p-values are computed using the same set of data used for generating the hypothesis.
To overcome this problem, we propose a new test for the difference in means in a single feature between a pair of clusters obtained using hierarchical or k-means clustering. More details can be found in our manuscript (Chen and Gao, 2023+).
How do I install the package?
To download and load CADET, use the code below.
require("devtools")
devtools::install_github("yiqunchen/CADET")
library(CADET)Tutorials and Use
Visit https://yiqunchen.github.io/CADET/ for tutorials and examples. Please file an issue if you have a request for a tutorial that is not currently included.
Citation
If you use CADET for your analysis, please cite our manuscript:
Chen YT, Gao LL. (2023+) Testing for a difference in means of a single feature after clustering. arXiv preprint.
Bug Reports / Change Requests
If you encounter a bug or would like to make a change request, please file it as an issue here.