Package: rpcss
Title: Constitution of Core Collections by Principal Component Scoring
        Strategy
Version: 0.1.1
Authors@R: c(
    person(given = "J.", family = "Aravind",
           email = "j.aravind@icar.org.in",
           role = c("aut", "cre"),
		       comment = c(ORCID = "0000-0002-4791-442X")),
    person(given = c("Anju", "Mahendru"), family = "Singh",
           email = "anju.singh@icar.org.in",
		       role = "aut",
		       comment = c(ORCID = "0000-0001-6958-1630")),
    person("ICAR-NBGPR",
           role = c("cph"),
		       comment = c(ROR = "https://ror.org/00scbd467",
		                   url = "https://nbpgr.org.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: 7.3.3
BuildManual: TRUE
Imports: dplyr, FactoMineR, ggplot2, ggrepel, gslnls, mathjaxr,
        methods, Rdpack, stats, tidyr, utils
Suggests: EvaluateCore, factoextra, knitr, rmarkdown, pander
RdMacros: mathjaxr, Rdpack
Copyright: 2024-2026, 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
NeedsCompilation: no
Packaged: 2026-04-17 09:08:45 UTC; Aravind-DGC
Author: J. Aravind [aut, cre] (ORCID: <https://orcid.org/0000-0002-4791-442X>),
  Anju Mahendru Singh [aut] (ORCID:
    <https://orcid.org/0000-0001-6958-1630>),
  ICAR-NBGPR [cph] (ROR: <https://ror.org/00scbd467>, url:
    https://nbpgr.org.in/)
Maintainer: J. Aravind <j.aravind@icar.org.in>
Repository: CRAN
Date/Publication: 2026-04-29 11:50:02 UTC
