srpi: Standardized Ranking Performance Index for Model Selection
Flexible implementation of the Standardized Ranking Performance Index (sRPI) for model selection based on multiple evaluation criteria. The package combines multiple statistical measures into a single index to provide an objective and robust ranking of models across calibration, validation, and combined scenarios. It supports evaluation of statistical, machine learning, and other predictive models using user-defined performance criteria. For more details see Aschonitis et al. (2019) <doi:10.1016/j.envsoft.2019.01.005> and Singh et al. (2023) <doi:10.1016/j.ecoinf.2022.101933>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
ggplot2 |
| Published: |
2026-04-21 |
| DOI: |
10.32614/CRAN.package.srpi (may not be active yet) |
| Author: |
RN Singh [aut],
Sonam [aut],
Sudhir Kumar Mishra [aut],
Gaurav Chaturvedi [aut],
Anil Kumar [aut],
Santosha Rathod [aut, cre] |
| Maintainer: |
Santosha Rathod <santoshagriculture at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
srpi results |
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