HIBAG: HIBAG – HLA Genotype Imputation with Attribute Bagging

HIBAG is a state of the art software package for imputing HLA types using SNP data, and it uses the R statistical programming language. HIBAG can be used by researchers with published parameter estimates instead of requiring access to large training sample datasets. It combines the concepts of attribute bagging, an ensemble classifier method, with haplotype inference for SNPs and HLA types. Attribute bagging is a technique which improves the accuracy and stability of classifier ensembles using bootstrap aggregating and random variable selection.

Version: 1.2.4
Depends: R (≥ 2.14.0)
Suggests: parallel
Published: 2014-10-03
Author: Xiuwen Zheng, Bruce S. Weir
Maintainer: Xiuwen Zheng <zhengx at u.washington.edu>
License: GPL-3
URL: http://www.biostat.washington.edu/~bsweir/HIBAG/, http://github.com/zhengxwen/HIBAG
NeedsCompilation: yes
Citation: HIBAG citation info
Materials: NEWS
CRAN checks: HIBAG results

Downloads:

Reference manual: HIBAG.pdf
Vignettes: HIBAG: an R Package for HLA Genotype Imputation with Attribute Bagging
Package source: HIBAG_1.2.4.tar.gz
Windows binaries: r-devel: HIBAG_1.2.4.zip, r-release: HIBAG_1.2.4.zip, r-oldrel: HIBAG_1.2.4.zip
OS X Snow Leopard binaries: r-release: HIBAG_1.2.4.tgz, r-oldrel: HIBAG_1.2.4.tgz
OS X Mavericks binaries: r-release: HIBAG_1.2.4.tgz
Old sources: HIBAG archive