Fits lowrank matrix and tensor mean models using nonparametric unimodal priors on the components. For fitting a rank1 matrix or tensor mean model, flashr will run a variational expectationmaximization (VEM) algorithm where the componenets and variances are assumed to be separable. For higherranks, a greedy algorithm is available where the VEM algorithm is iteratively run on the residuals of the previous iteration. A backfitting procedure is available for refined estimation.
Package details 


Bioconductor views  FactorAnalysis GeneExpression RNASeq Shrinkage Software Visualisation 
Maintainer  Wei Wang <[email protected]> 
License  GPL3 
Version  0.1.1 
URL  https://github.com/kkdey/flashr 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.