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: Linking:Please use the canonical form https://CRAN.R-project.org/package=TSDFGS to link to this page.
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