Package: TSDFGS
Type: Package
Title: Training Set Determination for Genomic Selection
Version: 2.0
Date: 2022-06-07
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")))
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)
Encoding: UTF-8
Imports: dplyr, ggplot2, latex2exp, lifecycle, parallel, Rcpp (>=
        1.0.8.3)
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.2.0
URL: https://github.com/oumarkme/TSDFGS
BugReports: https://github.com/oumarkme/TSDFGS/issues
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2022-06-07 13:21:24 UTC; mark
Author: Jen-Hsiang Ou [aut, cre] (<https://orcid.org/0000-0001-9305-2931>),
  Po-Ya Wu [aut] (<https://orcid.org/0000-0002-7342-2867>),
  Chen-Tuo Liao [aut, ths] (<https://orcid.org/0000-0001-9777-3701>)
Maintainer: Jen-Hsiang Ou <jen-hsiang.ou@imbim.uu.se>
Repository: CRAN
Date/Publication: 2022-06-07 14:00:11 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-07-12 01:39:50 UTC; unix
Archs: TSDFGS.so.dSYM
