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:
TSDFGS_2.4.2.tar.gz
TSDFGS_2.4.2.zip(r-4.5)TSDFGS_2.4.2.zip(r-4.4)TSDFGS_2.4.2.zip(r-4.3)
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)
TSDFGS_2.4.2.tar.gz(r-4.5-noble)TSDFGS_2.4.2.tar.gz(r-4.4-noble)
TSDFGS_2.4.2.tgz(r-4.4-emscripten)TSDFGS_2.4.2.tgz(r-4.3-emscripten)
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
genomic-predictiongenomic-selection
Last updated 1 years agofrom:a802b81201. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | OK | Nov 10 2024 |
| R-4.5-linux-x86_64 | OK | Nov 10 2024 |
| R-4.4-win-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-aarch64 | OK | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:cd_scoreFGCMnt2roptTrainpev_scorer_scoreSSDFGS
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CD-score | cd_score |
| Fit logistic growth curve model | FGCM |
| Genotype information | geno |
| Simulate r-scores of each training set size | nt2r |
| Optimal training set determination | optTrain |
| PEV score | pev_score |
| r-score | r_score |
| Sample size determination for genomic selection | SSDFGS |
| Sub-population information | subpop |
| TSDFGS | TSDFGS |