Compute Uniform Error Index
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.0Latest2024-07-31 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-07-31
- Total releases
- 1 / 2 yrs
- License
- GPL-3 OSI
- Download size
- 2.4 KB
Cite
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Run in R for the authors' preferred citation:
citation("UEI")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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