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Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) <doi:10.1093/bioinformatics/btv448>. It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.
| Version: | 1.7.3 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, bWGR |
| Published: | 2019-09-23 |
| Author: | Alencar Xavier, William Muir, Katy Rainey, Shizhong Xu. |
| Maintainer: | Alencar Xavier <alenxav at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | NAM citation info |
| CRAN checks: | NAM results |
| Reference manual: | NAM.pdf |
| Vignettes: |
Introduction to NAM Background for Meta-analysis |
| Package source: | NAM_1.7.3.tar.gz |
| Windows binaries: | r-devel: NAM_1.7.3.zip, r-release: NAM_1.7.3.zip, r-oldrel: NAM_1.7.3.zip |
| macOS binaries: | r-release (arm64): NAM_1.7.3.tgz, r-oldrel (arm64): NAM_1.7.3.tgz, r-release (x86_64): NAM_1.7.3.tgz, r-oldrel (x86_64): NAM_1.7.3.tgz |
| Old sources: | NAM archive |
| Reverse imports: | SoyNAM |
| Reverse suggests: | MoBPS |
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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.
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