Package: HIBAG
Type: Package
Title: HLA Genotype Imputation with Attribute Bagging
Version: 1.47.0
Date: 2024-11-19
Depends: R (>= 3.2.0)
Imports: methods, RcppParallel
Suggests: parallel, ggplot2, reshape2, gdsfmt, SNPRelate, SeqArray,
        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: C++11, GNU make
ByteCompile: TRUE
biocViews: Genetics, StatisticalMethod
URL: https://github.com/zhengxwen/HIBAG,
        https://hibag.s3.amazonaws.com/index.html
Config/pak/sysreqs: make
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:23:56 UTC
RemoteUrl: https://github.com/bioc/HIBAG
RemoteRef: HEAD
RemoteSha: 5a359dfb437d08c5f99c03682120feb08c6ff640
NeedsCompilation: yes
Packaged: 2026-01-09 08:36:16 UTC; root
Author: Xiuwen Zheng [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-1390-0708>),
  Bruce Weir [ctb, ths] (ORCID: <https://orcid.org/0000-0002-4883-1247>)
Maintainer: Xiuwen Zheng <zhengx@u.washington.edu>
Built: R 4.6.0; aarch64-apple-darwin23; 2026-01-09 08:38:11 UTC; unix
