DESCRIPTION

Package: TSDFGS
Type: Package
Title: Training Set Determination For Genomic Selection
Version: 2.4.2
Encoding: UTF-8
Date: 2023-04-09
Authors@R: c(
        person("Jen-Hsiang", "Ou", 
            email = "jen-hsiang.ou@imbim.uu.se", 
            role = c("aut", "cre"), 
            comment = c(ORCID = "0000-0001-9305-2931")),
        person("Po-Ya", "Wu", 
            email = "Po-Ya.Wu@hhu.de", 
            role = c("aut"), 
            comment = c(ORCID = "0000-0002-7342-2867")),
        person("Chen-Tuo", "Liao", 
            email = "ctliao@ntu.edu.tw", 
            role = c("aut", "ths"), 
            comment = c(ORCID = "0000-0001-9777-3701")))
URL: https://oumarkme.github.io/TSDFGS
Depends: R (>= 4.0)
Maintainer: Jen-Hsiang Ou <jen-hsiang.ou@imbim.uu.se>
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.
License: GPL (>= 3)
Imports: 
    dplyr,
    ggplot2,
    latex2exp,
    parallel,
    Rcpp,
    RcppEigen
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.2.3
LazyData: true