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TSDFGS: Training Set Determination for Genomic Selection
We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set <doi:10.1007/s00122-019-03387-0>. This package provides two main functions to determine a good training set and its size.
| Version: |
2.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, ggplot2, latex2exp, lifecycle, parallel, Rcpp (≥
1.0.8.3) |
| LinkingTo: |
Rcpp, RcppEigen |
| Published: |
2022-06-07 |
| DOI: |
10.32614/CRAN.package.TSDFGS |
| Author: |
Jen-Hsiang Ou 
[aut, cre],
Po-Ya Wu [aut],
Chen-Tuo Liao
[aut, ths] |
| Maintainer: |
Jen-Hsiang Ou <jen-hsiang.ou at imbim.uu.se> |
| BugReports: |
https://github.com/oumarkme/TSDFGS/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/oumarkme/TSDFGS |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
Agriculture |
| CRAN checks: |
TSDFGS results |
Documentation:
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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.