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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, FactoMineR, ggplot2, ggrepel, gslnls, mathjaxr, methods, Rdpack, stats, tidyr, utils |
| Suggests: | EvaluateCore, factoextra, knitr, rmarkdown, pander |
| Published: | 2026-04-29 |
| DOI: | 10.32614/CRAN.package.rpcss |
| Author: | J. Aravind  [aut,
cre],
Anju Mahendru Singh
[aut],
ICAR-NBGPR  [cph] (url:
https://nbpgr.org.in/) |
| Maintainer: | J. Aravind <j.aravind at icar.org.in> |
| BugReports: | https://github.com/aravind-j/rpcss/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | 2024-2026, ICAR-NBPGR |
| 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 |
| NeedsCompilation: | no |
| Citation: | rpcss citation info |
| Materials: | README, NEWS |
| CRAN checks: | rpcss results |
Documentation:
| Reference manual: | rpcss.html , rpcss.pdf |
Downloads:
| Package source: | rpcss_0.1.1.tar.gz |
| Windows binaries: | r-devel: rpcss_0.1.1.zip, r-release: rpcss_0.1.1.zip, r-oldrel: rpcss_0.1.1.zip |
| macOS binaries: | r-release (arm64): rpcss_0.1.1.tgz, r-oldrel (arm64): rpcss_0.1.1.tgz, r-release (x86_64): rpcss_0.1.1.tgz, r-oldrel (x86_64): rpcss_0.1.1.tgz |
| Old sources: | rpcss archive |
Linking:
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