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 |
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