Package: HIBAG
Type: Package
Title: HLA Genotype Imputation with Attribute Bagging
Version: 1.40.0
Date: 2024-04-11
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
git_url: https://git.bioconductor.org/packages/HIBAG
git_branch: RELEASE_3_19
git_last_commit: 5f90ddf
git_last_commit_date: 2024-04-30
Repository: Bioconductor 3.19
Date/Publication: 2024-05-01
NeedsCompilation: yes
Packaged: 2024-05-01 23:26:14 UTC; biocbuild
Author: Xiuwen Zheng [aut, cre, cph] (<https://orcid.org/0000-0002-1390-0708>),
  Bruce Weir [ctb, ths] (<https://orcid.org/0000-0002-4883-1247>)
Maintainer: Xiuwen Zheng <zhengx@u.washington.edu>
Built: R 4.4.0; x86_64-w64-mingw32; 2024-05-02 12:56:51 UTC; windows
Archs: x64
