Performance Metrics in Predictive Modeling
Overview
Performance metric provides different performance measures like mean squared error, root mean square error, mean absolute deviation, mean absolute percentage error etc. of a fitted model. These can provide a way for forecasters to quantitatively compare the performance of competing models. For method details see (i) Pankaj Das (2020) http://krishi.icar.gov.in/jspui/handle/123456789/44138.
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
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- Return-value docs
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- Help pages citing references
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Installing PerMat adds no packages beyond those that come with R.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.0Latest2024-06-14 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-06-14
- Total releases
- 1 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 13 KB
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