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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: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, FactoMineR, ggplot2, ggrepel, gslnls, mathjaxr, methods, Rdpack, stats, tidyr, utils |
| Suggests: |
EvaluateCore, factoextra, knitr, rmarkdown, pander |
| Published: |
2025-02-17 |
| DOI: |
10.32614/CRAN.package.rpcss |
| Author: |
J. Aravind  [aut,
cre],
ICAR-NBGPR [cph] (www.nbpgr.ernet.in) |
| Maintainer: |
J. Aravind <j.aravind at icar.gov.in> |
| BugReports: |
https://github.com/aravind-j/rpcss/issues |
| License: |
GPL-2 | GPL-3 |
| Copyright: |
2024-2025, ICAR-NBPGR |
| URL: |
https://github.com/aravind-j/rpcss,
https://aravind-j.github.io/rpcss/ |
| NeedsCompilation: |
no |
| Citation: |
rpcss citation info |
| Materials: |
README NEWS |
| CRAN checks: |
rpcss results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rpcss
to link to this page.
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.