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Uniform Error Index is the weighted average of different error measures. Uniform Error Index utilizes output from different error function and gives more robust and stable error values. This package has been developed to compute Uniform Error Index from ten different loss function like Error Square, Square of Square Error, Quasi Likelihood Error, LogR-Square, Absolute Error, Absolute Square Error etc. The weights are determined using Principal Component Analysis (PCA) algorithm of Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
| Version: | 0.1.0 |
| Imports: | FactoMineR, factoextra, Metrics |
| Published: | 2024-07-31 |
| DOI: | 10.32614/CRAN.package.UEI |
| Author: | Mr. Ankit Kumar Singh [aut], Dr. Ranjit Kumar Paul [aut, cre], Dr. Md Yeasin [aut], Ms. Anita Sarkar [aut], Dr. Amrit Kumar Paul [aut] |
| Maintainer: | Dr. Ranjit Kumar Paul <ranjitstat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | UEI results |
| Reference manual: | UEI.pdf |
| Package source: | UEI_0.1.0.tar.gz |
| Windows binaries: | r-devel: UEI_0.1.0.zip, r-release: UEI_0.1.0.zip, r-oldrel: UEI_0.1.0.zip |
| macOS binaries: | r-release (arm64): UEI_0.1.0.tgz, r-oldrel (arm64): UEI_0.1.0.tgz, r-release (x86_64): UEI_0.1.0.tgz, r-oldrel (x86_64): UEI_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.