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

Version : 0.0.0.9000; License: GPL-2|GPL-3
Aravind, J.

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 Website - pkgdown .


Description

Generate a Core Collection with Principal Component ScoringStrategy (PCSS) using qualitative and/or quantitative trait data accordingto 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 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')

Citing rpcss

To cite the methods in the package use:

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

  Aravind, J. (2024).  rpcss: Constitution of Core Collections by
  Principal Component Scoring Strategy. R package version 0.0.0.9000,
  https://aravind-j.github.io/rpcss/.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {rpcss: Constitution of Core Collections by Principal Component Scoring Strategy},
    author = {J. Aravind},
    year = {2024},
    note = {R package version 0.0.0.9000 https://aravind-j.github.io/rpcss/},
  }

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.