Package: TSDFGS 2.4.2

Jen-Hsiang Ou

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.

Authors:Jen-Hsiang Ou [aut, cre], Po-Ya Wu [aut], Chen-Tuo Liao [aut, ths]

TSDFGS_2.4.2.tar.gz
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TSDFGS_2.4.2.tgz(r-4.4-x86_64)TSDFGS_2.4.2.tgz(r-4.4-arm64)TSDFGS_2.4.2.tgz(r-4.3-x86_64)TSDFGS_2.4.2.tgz(r-4.3-arm64)
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TSDFGS.pdf |TSDFGS.html✨
TSDFGS/json (API)

Peer review:

Bug tracker:https://github.com/oumarkme/tsdfgs/issues

On CRAN:

genomic-predictiongenomic-selection

7 exports 5 stars 1.59 score 36 dependencies 2 mentions 7 scripts 200 downloads

Last updated 12 months agofrom:a802b81201. Checks:OK: 9. Indexed: yes.

Exports:cd_scoreFGCMnt2roptTrainpev_scorer_scoreSSDFGS

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr