baybi: Bayesian Biclustering with Subject and Variable Importance

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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.

Author
Vahid PARTOVI NIA
Date of publication
2014-11-24 23:57:13
Maintainer
Vahid PARTOVI NIA <partovi@math.mcgill.ca>
License
GPL (>= 2)
Version
1.0

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Man pages

baybiclust
Bayesian Biclustering Function with Importance
baybiplot
plots a baybimp object

Files in this package

baybi/DESCRIPTION
baybi/NAMESPACE
baybi/R
baybi/R/baybiclust.R
baybi/R/zzz.R
baybi/data
baybi/data/julien.rda
baybi/man
baybi/man/baybiclust.Rd
baybi/man/baybiplot.Rd
baybi/src
baybi/src/Makevars
baybi/src/cbaybi.c