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.

AuthorVahid PARTOVI NIA
Date of publication2014-11-24 23:57:13
MaintainerVahid PARTOVI NIA <partovi@math.mcgill.ca>
LicenseGPL (>= 2)
Version1.0

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Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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