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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", "0.1.0")



Attach the package and use:
library("rpcss")
Maintained by
J. Aravind
[Scholar Profile | Author Map]
First Published: 2025-02-17
Latest Update: 2025-02-17
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 0.1.0, https://cran.r-project.org/web/packages/rpcss. Accessed 01 Apr. 2025.
Previous versions and publish date:
No previous versions
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View rpcss citation profile
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Complete documentation for rpcss
Functions, R codes and Examples using the rpcss R package
Full rpcss package functions and examples
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