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This is a companion to Henry-Stewart talk by Zhao (2026, <doi:10.69645/FRFQ9519>), which gathers information, metadata and scripts to showcase modern genetic analysis – ranging from testing of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with traits using genetic and statistical models, 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. The earlier version by Zhao (2009, <doi:10.69645/DCRY5578>) provides an brief introduction to these topics.
| Version: | 0.0.5 |
| 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, Rsamtools, SNPassoc, testthat, tidyr |
| Published: | 2026-01-30 |
| 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 <jinghuazhao at hotmail.com> |
| BugReports: | https://github.com/jinghuazhao/gaawr2/issues |
| License: | MIT + file LICENSE |
| URL: | https://jinghuazhao.github.io/gaawr2/, https://github.com/jinghuazhao/gaawr2 |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | gaawr2 results |
| Reference manual: | gaawr2.html , gaawr2.pdf |
| Vignettes: |
gaawr2 (source, R code) Web facilities (source, R code) |
| Package source: | gaawr2_0.0.5.tar.gz |
| Windows binaries: | r-devel: gaawr2_0.0.5.zip, r-release: gaawr2_0.0.5.zip, r-oldrel: gaawr2_0.0.5.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gaawr2_0.0.3.tgz, r-oldrel (x86_64): not available |
| Old sources: | gaawr2 archive |
Please use the canonical form https://CRAN.R-project.org/package=gaawr2 to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.