Package: CHAPGWAS
Type: Package
Title: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve
        Genome-Wide Association Studies
Version: 0.1.3
Authors@R: c(
    person("Shibo", "Wang", email = "shibow@ucr.edu", role = c("aut","cre")),
    person("Qiong", "Jia", email = "qjia009@ucr.edu", role = "aut"),
    person("Zhenyu", "Jia", email = "arthur.jia@ucr.edu", role = c("aut","ctb"))
    )
Description: CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide Association
    Study) provides a dynamically adaptive framework for genome-wide association
    studies (GWAS) that integrates chromosome-scale haplotypes with single
    nucleotide polymorphism (SNP) analysis. The method identifies and extends
    haplotype variants based on their phenotypic associations rather than
    predefined linkage blocks, enabling high-resolution detection of quantitative
    trait loci (QTL). By leveraging long-range phased haplotype information,
    CHAP-GWAS improves statistical power and offers a more comprehensive view of
    the genetic architecture underlying complex traits.
Depends: R (>= 4.0.0)
Imports: MASS, plyr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-01-04 00:58:51 UTC; neau2
Author: Shibo Wang [aut, cre],
  Qiong Jia [aut],
  Zhenyu Jia [aut, ctb]
Maintainer: Shibo Wang <shibow@ucr.edu>
Repository: CRAN
Date/Publication: 2026-01-08 04:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:31:13 UTC; unix
