LXQin/CORM: The Clustering of Regression Models Method

We proposed a new model-based clustering method, called the clustering of regression models method(CORM), which groups genes that share a similar relationship to the covariate(s). This method provides a unified approach for a family of clustering procedures and can be applied to data collected with various experimental designs. This package includes the implementation for two such clustering procedures: (1) the Clustering of Linear Models (CLM) method, and (2) the Clustering of Linear Mixed Models (CLMM) method.

Getting started

Package details

AuthorLi-Xuan Qin [aut], Jiejun Shi [cre]
MaintainerJiejun Shi <shi.abraham.2010@gmail.com>
LicenseGPL (>= 2)
Version1.0.2
URL http://www.r-project.org http://www.mskcc.org/mskcc/html/60448.cfm
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LXQin/CORM")
LXQin/CORM documentation built on May 7, 2019, 7:58 a.m.