Package: IPLGP
Type: Package
Title: Identification of Parental Lines via Genomic Prediction
Version: 2.0.5
Authors@R: c(
    person("Ping-Yuan", "Chung", email = "r06621204@ntu.edu.tw", role = "cre"),
    person("Chen-Tuo", "Liao", email = "ctliao@ntu.edu.tw", role = "aut"))
Description: 
    Combining genomic prediction with Monte Carlo simulation, three different 
    strategies are implemented to select parental lines for multiple traits in plant 
    breeding. The selection strategies include (i) GEBV-O considers only genomic 
    estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O 
    considers only genomic diversity (GD) of the candidate individuals; and (iii) 
    GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, 
    Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best 
    linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate 
    GEBVs of the target traits, and then a selection index is adopted to evaluate 
    the composite performance of an individual.
Imports: ggplot2, sommer, grDevices, stats
URL: https://github.com/py-chung/IPLGP
BugReports: https://github.com/py-chung/IPLGP/issues
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2024-08-01 09:15:22 UTC; pingyuan
Author: Ping-Yuan Chung [cre],
  Chen-Tuo Liao [aut]
Maintainer: Ping-Yuan Chung <r06621204@ntu.edu.tw>
Repository: CRAN
Date/Publication: 2024-08-01 09:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 08:14:24 UTC; unix
