RegClust-package: A clustering process via regression.
In RegClust: Cluster analysis via regression coefficients.
Description
Details
Author(s)
References
Description
A clustering process built upon linear regression analysis (Qin and Self 2006), maximum likelihood, Bayesian inference criteria, and Bootstrapping maximum volume.
Details
Package: RegClust
Type: Package
Version: 1.0
Date: 2014-02-17
License: Artistic-2.0
Author(s)
Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
References
Qin, Li-Xuan, and Steven G. Self. "The clustering of regression models method with applications in gene expression data." Biometrics 62.2 (2006): 526-533.
RegClust documentation built on May 2, 2019, 5:56 a.m.
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Description Details Author(s) References
Description
A clustering process built upon linear regression analysis (Qin and Self 2006), maximum likelihood, Bayesian inference criteria, and Bootstrapping maximum volume.
Details
| Package: | RegClust |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2014-02-17 |
| License: | Artistic-2.0 |
Author(s)
Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
References
Qin, Li-Xuan, and Steven G. Self. "The clustering of regression models method with applications in gene expression data." Biometrics 62.2 (2006): 526-533.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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