doi:10.69645/DCRY5578>), which showcases analysis in aspects such as testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with trait using genetic and statistical models as well as Bayesian implementation, power calculation in study design and genetic annotation. It also covers R integration with the Linux environment, GitHub, package creation and web applications.">

gaawr2: Genetic Association Analysis (original) (raw)

It gathers information, meta-data and scripts in a two-part Henry-Stewart talk by Zhao (2009, <doi:10.69645/DCRY5578>), which showcases analysis in aspects such as testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with trait using genetic and statistical models as well as Bayesian implementation, power calculation in study design and genetic annotation. It also covers R integration with the Linux environment, GitHub, package creation and web applications.

Version: 0.0.3
Depends: R (≥ 3.5.0)
Imports: dplyr, gap, gap.datasets, ggplot2, survival, Rdpack
Suggests: BLR, BGLR, biomaRt, bookdown, Cairo, EnsDb.Hsapiens.v75, ensembldb, GMMAT, HardyWeinberg, haplo.stats, httr, httpuv, jsonlite, kableExtra, knitr, MCMCglmm, plumber, powerEQTL, R2jags, regress, seqminer, SNPassoc, testthat, tidyr
Published: 2025-03-24
DOI: 10.32614/CRAN.package.gaawr2
Author: Jing Hua Zhao [aut, cre] (ORCID: https://orcid.org/0000-0002-1463-5870, ORCID: https://orcid.org/0000-0003-4930-3582), Benjamin Altmann [ctb], Brian Ripley [ctb]
Maintainer: Jing Hua Zhao
BugReports: https://github.com/jinghuazhao/gaawr2/issues
License: MIT + file
URL: https://jinghuazhao.github.io/gaawr2/,https://github.com/jinghuazhao/gaawr2
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gaawr2 results

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