supcluster: Supervised Cluster Analysis

Clusters features under the assumption that each cluster has a random effect and there is an outcome variable that is related to the random effects by a linear regression. In this way the cluster analysis is ``supervised'' by the outcome variable. An alternate specification is that features in each cluster have the same compound symmetric normal distribution, and the conditional distribution of the outcome given the features has the same coefficient for each feature in a cluster.

Package details

AuthorDavid A. Schoenfeld, Jesse Hsu
MaintainerDavid A. Schoenfeld <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the supcluster package in your browser

Any scripts or data that you put into this service are public.

supcluster documentation built on May 1, 2019, 9:30 p.m.