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Showing content from https://www.bioconductor.org/packages/devel/bioc/html/../../bioc/html/HIBAG.html below:

Bioconductor - HIBAG (development version)

This is the development version of HIBAG; for the stable release version, see HIBAG.

Bioconductor version: Development (3.22)

Imputes HLA classical alleles using GWAS SNP data, and it relies on a training set of HLA and SNP genotypes. 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.

Author: Xiuwen Zheng [aut, cre, cph] ORCID: 0000-0002-1390-0708 , Bruce Weir [ctb, ths] ORCID: 0000-0002-4883-1247

Maintainer: Xiuwen Zheng <zhengx at u.washington.edu>

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("HIBAG")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HIBAG")

Follow Installation instructions to use this package in your R session.

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