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

Version : 0.1.0; 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 . GoatCounter

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')

Github page

Documentation website

Citing rpcss

To cite the methods in the package use:

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

  Aravind, J. ().  rpcss: Constitution of Core Collections by Principal Component Scoring Strategy. R package version 0.1.0,
  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},
    note = {R package version 0.1.0 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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