rpcss: 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) <doi:10.2307/2527837> and Noirot et al. (2003) <https://www.documentation.ird.fr/hor/fdi:010031886>.

Getting started

Package details

AuthorJ. 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/)
MaintainerJ. Aravind <j.aravind@icar.org.in>
LicenseGPL (>= 2)
Version0.1.1
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
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rpcss")

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rpcss documentation built on April 29, 2026, 5:10 p.m.