Constitution of Core Collections by Principal Component Scoring Strategy

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) and Noirot et al. (2003) < https://www.documentation.ird.fr/hor/fdi:010031886>.


rpcss: Constitution of Core Collections by Principal Component Scoring Strategy logo

Version : 0.1.1; Copyright (C) 2024-2026: ICAR-NBPGR; License: GPL-2|GPL-3
Aravind, J. and Singh, Anju M.

Division of Germplasm Conservation, ICAR-National Bureau of Plant Genetic Resources, New Delhi.


minimal Rversion License: GPLv3 CRAN_Status_Badge Dependencies rstudio mirrordownloads develVersion Github CodeSize R-CMD-check Project Status:WIP lifecycle Last-changedate ZenodoDOI Website -pkgdown

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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>.

Installation

The package can be installed from CRAN as follows:

The development version can be installed from github as follows:

# Install development version from Github
devtools::install_github("aravind-j/rpcss")

What’s new

To know whats new in this version type:

news(package='rpcss')

Links

CRAN page

Github page

Documentation website

Zenodo DOI

Citing rpcss

To cite the methods in the package use:

citation("rpcss")
To cite the R package 'rpcss' in publications use:

  Aravind, J. (2026).  rpcss: Constitution of Core Collections by Principal Component Scoring Strategy. R
  package version 0.1.1,
  https://aravind-j.github.io/rpcss/https://cran.r-project.org/package=rpcsshttps://doi.org/10.5281/zenodo.14889174.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {rpcss: Constitution of Core Collections by Principal Component Scoring Strategy},
    author = {J. Aravind},
    note = {R package version 0.1.1 https://aravind-j.github.io/rpcss/ https://cran.r-project.org/package=rpcss https://doi.org/10.5281/zenodo.14889174},
    year = {2026},
  }

This free and open-source software implements academic research by the authors and co-workers. If you use
it, please support the project by citing the package.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("rpcss")

0.1.1 by J. Aravind, 6 months ago


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


Report a bug at https://github.com/aravind-j/rpcss/issues


Browse source code at https://github.com/cran/rpcss


Authors: J. Aravind [aut, cre] , Anju Mahendru Singh [aut] (ORCID: , ICAR-NBGPR [cph] (ROR: <https://ror.org/00scbd467> , url: https://nbpgr.org.in/)


Documentation:   PDF Manual  


GPL (>= 2) license


Imports dplyr, FactoMineR, ggplot2, ggrepel, gslnls, mathjaxr, methods, Rdpack, stats, tidyr, utils

Suggests EvaluateCore, factoextra, knitr, rmarkdown, pander


See at CRAN