bigRR-package: Generalized Ridge Regression (with special advantage for p >>...
In bigRR: Generalized Ridge Regression (with special advantage for p >> n cases)
Description
Details
Author(s)
References
Description
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.
Details
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
Author(s)
Authors: Xia Shen, Moudud Alam, Lars Ronnegard
Maintainer: Xia Shen <xia.shen@ki.se>
References
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.
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Description Details Author(s) References
Description
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.
Details
| 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 |
Author(s)
Authors: Xia Shen, Moudud Alam, Lars Ronnegard
Maintainer: Xia Shen <xia.shen@ki.se>
References
Shen X, Alam M, Fikse F and Ronnegard L (2013). A novel generalized ridge regression method for quantitative genetics. Genetics, 193, 1255-1268.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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