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rpcss  

Constitution of Core Collections by Principal Component Scoring Strategy
View on CRAN: Click here


Download and install rpcss package within the R console
Install from CRAN:
install.packages("rpcss")

Install from Github:
library("remotes")
install_github("cran/rpcss")

Install by package version:
library("remotes")
install_version("rpcss", "0.1.1")



Attach the package and use:
library("rpcss")
Maintained by
J. Aravind
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-17
Latest Update:
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>.
How to cite:
J. Aravind (2025). rpcss: Constitution of Core Collections by Principal Component Scoring Strategy. R package version 0.1.1, https://cran.r-project.org/web/packages/rpcss. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:53), 0.1.0 (2025-02-17 12:50)
Other packages that cited rpcss R package
View rpcss citation profile
Other R packages that rpcss depends, imports, suggests or enhances
Complete documentation for rpcss
Functions, R codes and Examples using the rpcss R package
Full rpcss package functions and examples
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