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TSDFGS  

Training Set Determination for Genomic Selection
View on CRAN: Click here


Download and install TSDFGS package within the R console
Install from CRAN:
install.packages("TSDFGS")

Install from Github:
library("remotes")
install_github("cran/TSDFGS")

Install by package version:
library("remotes")
install_version("TSDFGS", "2.0")



Attach the package and use:
library("TSDFGS")
Maintained by
Jen-Hsiang Ou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-07
Latest Update: 2022-06-07
Description:
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.
How to cite:
Jen-Hsiang Ou (2019). TSDFGS: Training Set Determination for Genomic Selection. R package version 2.0, https://cran.r-project.org/web/packages/TSDFGS. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 1.0 (2019-03-07 18:42)
Other packages that cited TSDFGS R package
View TSDFGS citation profile
Other R packages that TSDFGS depends, imports, suggests or enhances
Complete documentation for TSDFGS
Functions, R codes and Examples using the TSDFGS R package
Some associated functions: FGCM . SSDFGS . TSDFGS-package . cd_score . geno . nt2r . optTrain . pev_score . r_score . subpop . 
Some associated R codes: RcppExports.R . SSDFGS.R . TSDFGS-package.R . data.R . optTrain.R .  Full TSDFGS package functions and examples
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