DESCRIPTION

Package: rpcss
Title: Constitution of Core Collections by Principal Component Scoring Strategy
Version: 0.1.0.9000
Authors@R: c(
    person(given = "J.", family = "Aravind",
           email = "j.aravind@icar.gov.in",
           role = c("aut", "cre"),
		       comment = c(ORCID = "0000-0002-4791-442X")),
		person("ICAR-NBGPR",
           role = c("cph"),
		       comment = c(url = "www.nbpgr.ernet.in")))
Description: Generate a Core Collection with Principal Component Scoring 
    Strategy (PCSS) using qualitative and/or quantitative trait data according 
    to Hamon and Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, 
    Noirot et al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003) 
    <https://www.documentation.ird.fr/hor/fdi:010031886>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
RoxygenNote: 7.3.2
BuildManual: TRUE
Imports: dplyr,
    FactoMineR,
    ggplot2,
    ggrepel,
    gslnls,
    mathjaxr,
    methods,
    Rdpack,
    stats,
    tidyr,
    utils
Suggests: EvaluateCore,
    factoextra,
    knitr,
    rmarkdown,
    pander
RdMacros: mathjaxr,
    Rdpack
Copyright: 2024-2025, ICAR-NBPGR
URL: https://github.com/aravind-j/rpcss
   https://cran.r-project.org/package=rpcss
   https://aravind-j.github.io/rpcss/
   https://doi.org/10.5281/zenodo.14889174
BugReports: https://github.com/aravind-j/rpcss/issues