bestcluster: Best Clustering by Least Squared Distance to Probability...
In lvhoskovec/mmpack: Methods for multipollutant mixtures analysis
Description
Usage
Arguments
Value
References
Description
Best Clustering by Least Squared Distance to Probability Matrix
Usage
1
bestcluster(bpr)
Arguments
bpr
object of class bpr; output from function profileReg
Value
vector denoting the best clustering of the data using least squares distance to a similarity matrix as described in Dahl (2006)
References
Dahl, D. B. (2006). Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model. Bayesian Inference for Gene Expression and Proteomics, 201–218. https://doi.org/10.1017/CBO9780511584589.011
lvhoskovec/mmpack documentation built on Aug. 21, 2021, 4:05 p.m.
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Description Usage Arguments Value References
Description
Best Clustering by Least Squared Distance to Probability Matrix
Usage
1 | bestcluster(bpr)
|
Arguments
bpr |
object of class bpr; output from function profileReg |
Value
vector denoting the best clustering of the data using least squares distance to a similarity matrix as described in Dahl (2006)
References
Dahl, D. B. (2006). Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model. Bayesian Inference for Gene Expression and Proteomics, 201–218. https://doi.org/10.1017/CBO9780511584589.011
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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