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.pdf |TSDFGS.html
TSDFGS/json (API)

# Install 'TSDFGS' in R:
install.packages('TSDFGS', repos = c('https://oumarkme.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown site:https://oumarkme.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • geno - Genotype information
  • subpop - Sub-population information

On CRAN:

Conda-Forge:

genomic-predictiongenomic-selectioncpp

3.70 score 5 stars 7 scripts 164 downloads 2 mentions 7 exports 36 dependencies

Last updated 1 years agofrom:a802b81201. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-win-x86_64OKFeb 08 2025
R-4.5-mac-x86_64OKFeb 08 2025
R-4.5-mac-aarch64OKFeb 08 2025
R-4.5-linux-x86_64OKFeb 08 2025
R-4.4-win-x86_64OKFeb 08 2025
R-4.4-mac-x86_64OKFeb 08 2025
R-4.4-mac-aarch64OKFeb 08 2025
R-4.3-win-x86_64OKJan 09 2025
R-4.3-mac-x86_64OKFeb 08 2025
R-4.3-mac-aarch64OKFeb 08 2025

Exports:cd_scoreFGCMnt2roptTrainpev_scorer_scoreSSDFGS

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr