Description Details Author(s) References

The package fits large-scale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be pre-specified 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 large-scale omics data, such as high-throughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc.

Package: | bigRR |

Type: | Package |

Version: | 1.3-10 |

Date: | 2014-08-23 |

Depends: | R (>= 2.10.0), utils, hglm, DatABEL |

License: | GPL (>= 2) |

LazyLoad: | yes |

Authors: Xia Shen, Moudud Alam, Lars Ronnegard

Maintainer: Xia Shen <[email protected]>

Shen X, Alam M, Fikse F and Ronnegard L (2013). **A novel generalized ridge regression method for quantitative genetics**. *Genetics*, **193**, 1255-1268.

bigRR documentation built on May 29, 2017, 9:29 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.