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.

Version: 1.0.2
Depends: R (≥ 2.10.0), cluster, limma
Suggests: MASS
Published: 2014-06-30
Author: Li-Xuan Qin [aut], Jiejun Shi [cre]
Maintainer: Jiejun Shi <shi.abraham.2010 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.r-project.org, http://www.mskcc.org/mskcc/html/60448.cfm
NeedsCompilation: no
CRAN checks: CORM results

Downloads:

Reference manual: CORM.pdf
Package source: CORM_1.0.2.tar.gz
Windows binaries: r-devel: CORM_1.0.2.zip, r-release: CORM_1.0.2.zip, r-oldrel: CORM_1.0.2.zip
OS X Snow Leopard binaries: r-oldrel: CORM_1.0.2.tgz
OS X Mavericks binaries: r-release: CORM_1.0.2.tgz
Old sources: CORM archive