A modification of Breiman and Cutler's classification random forests modified for SNP (Single Nucleotide Polymorphism) data (based on randomForest v4.6-7) to prevent X-chromosome SNP variable importance bias compared to autosomal SNPs by simulating the process of X chromosome inactivation. Classification is based on a forest of trees using random subsets of SNPs and other variables as inputs.
|Depends:||R (≥ 2.5.0), stats|
|Author:||Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener. Modifications of randomForest v 4.6-7 for SNPs by Greg Jenkins based on a method developed by Stacey Winham, Greg Jenkins and Joanna Biernacka.|
|Maintainer:||Greg Jenkins <jenkins.gregory at mayo.edu>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|Citation:||snpRF citation info|
|CRAN checks:||snpRF results|
|Windows binaries:||r-devel: snpRF_0.4.zip, r-release: snpRF_0.4.zip, r-oldrel: snpRF_0.4.zip|
|OS X El Capitan binaries:||r-release: snpRF_0.4.tgz|
|OS X Mavericks binaries:||r-oldrel: snpRF_0.4.tgz|
|Old sources:||snpRF archive|
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