The package fits largescale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be prespecified or estimated using an internal update routine (fitting a heteroscedastic effects model, or HEM). It gives possibility to shrink any subset of parameters in the model. It has special computational advantage for the cases when the number of shrinkage parameters exceeds the number of observations. For example, the package is very useful for fitting largescale omics data, such as highthroughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc.
Package details 


Author  Xia Shen, Moudud Alam and Lars Ronnegard 
Date of publication  20160204 14:13:50 
Maintainer  Xia Shen <[email protected]> 
License  GPL (>= 2) 
Version  1.39 
Package repository  View on RForge 
Installation 
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