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

Aravind, J. and Singh, Anju M.

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

minimal R version License: GPL v3 CRAN_Status_Badge Dependencies rstudio mirror downloads develVersion Github Code Size R-CMD-check Project Status: WIP lifecycle Last-changedate Zenodo DOI Website - pkgdown GoatCounter

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')

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.