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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 |
| 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 |
| Reference manual: | srpi.html , srpi.pdf |
| Package source: | srpi_0.1.0.tar.gz |
| Windows binaries: | r-devel: srpi_0.1.0.zip, r-release: srpi_0.1.0.zip, r-oldrel: srpi_0.1.0.zip |
| macOS binaries: | r-release (arm64): srpi_0.1.0.tgz, r-oldrel (arm64): srpi_0.1.0.tgz, r-release (x86_64): srpi_0.1.0.tgz, r-oldrel (x86_64): srpi_0.1.0.tgz |
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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.