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baybi: Bayesian Biclustering with Subject and Variable Importance
The package builds a dendrogram for subjects and variables with log posterior of a simple linear model. After data are grouped the Bayes Factor of a mixture versus a single component is given as an importance measure. Model hyperparameters are needed to be given or estimated from data to apply the algorithm.
Getting started
Browse package contents
Package details |
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| Author | Vahid PARTOVI NIA |
| Maintainer | Vahid PARTOVI NIA <partovi@math.mcgill.ca> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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