TSDFGS (1.0)

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Training Set Determination for Genomic Selection.

https://tsdfgs.oumark.me
http://cran.r-project.org/web/packages/TSDFGS

Determining training set for genomic selection using a genetic algorithm (Holland J.H. (1975) ) or simple exchange algorithm (change an individual every iteration). Three different criteria are used in both algorithms, which are r-score (Ou J.H., Liao C.T. (2018) ), PEV-score (Akdemir D. et al. (2015) ) and CD-score (Laloe D. (1993) ). Phenotypic data for candidate set is not necessary for all these methods. By using it, one may readily determine a training set that can be expected to provide a better training set comparing to random sampling.

Maintainer: Jen-Hsiang Ou
Author(s): Jen-Hsiang Ou and Chen-Tuo Liao

License: GPL (>= 3)

Uses: Rcpp

Released about 1 month ago.


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