kkdey/flashr: Factor Loading Adaptive SHrinkage in R
Version 0.1.1

Fits low-rank matrix and tensor mean models using non-parametric unimodal priors on the components. For fitting a rank-1 matrix or tensor mean model, flashr will run a variational expectation-maximization (VEM) algorithm where the componenets and variances are assumed to be separable. For higher-ranks, 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.

Getting started

Package details

Bioconductor views FactorAnalysis GeneExpression RNASeq Shrinkage Software Visualisation
MaintainerWei Wang <[email protected]>
LicenseGPL-3
Version0.1.1
URL https://github.com/kkdey/flashr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("kkdey/flashr")
kkdey/flashr documentation built on May 18, 2017, 8:44 p.m.