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:
Downloads:
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