Package: HIBAG Type: Package Title: HLA Genotype Imputation with Attribute Bagging Version: 1.48.2 Date: 2026-08-06 Depends: R (>= 3.2.0) Imports: methods, RcppParallel Suggests: parallel, ggplot2, reshape2, gdsfmt, SNPRelate, SeqArray (>= 1.20.0), knitr, markdown, rmarkdown, Rsamtools LinkingTo: RcppParallel (>= 5.0.0) Authors@R: c(person("Xiuwen", "Zheng", role=c("aut", "cre", "cph"), email="zhengx@u.washington.edu", comment=c(ORCID="0000-0002-1390-0708")), person("Bruce", "Weir", role=c("ctb", "ths"), email="bsweir@u.washington.edu", comment=c(ORCID="0000-0002-4883-1247"))) Description: 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. License: GPL-3 LazyData: yes VignetteBuilder: knitr SystemRequirements: GNU make ByteCompile: TRUE biocViews: Genetics, StatisticalMethod URL: https://github.com/zhengxwen/HIBAG, https://hibag.s3.amazonaws.com/index.html Config/pak/sysreqs: cmake make Repository: Bioconductor 3.23 Date/Publication: 2026-08-09 03:02:55 UTC RemoteUrl: https://github.com/bioc/HIBAG RemoteRef: RELEASE_3_23 RemoteSha: cf593e8d42afa6e1862b724f3077d7a4c63bf7b3 NeedsCompilation: yes Packaged: 2026-10-08 10:41:06 UTC; root Author: Xiuwen Zheng [aut, cre, cph] (ORCID: ), Bruce Weir [ctb, ths] (ORCID: ) Maintainer: Xiuwen Zheng