PerMat: Performance Metrics in Predictive Modeling
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>.
| Version: | 0.1.0 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-06-14 |
| DOI: | 10.32614/CRAN.package.PerMat |
| Author: | Pankaj Das  [aut,
cre] |
| Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | PerMat results |
Documentation:
| Reference manual: | PerMat.html , PerMat.pdf |
| Vignettes: |
Performance Metric of fitted model (source, R code) |
Downloads:
| Package source: | PerMat_0.1.0.tar.gz |
| Windows binaries: | r-devel: PerMat_0.1.0.zip, r-release: PerMat_0.1.0.zip, r-oldrel: PerMat_0.1.0.zip |
| macOS binaries: | r-release (arm64): PerMat_0.1.0.tgz, r-oldrel (arm64): PerMat_0.1.0.tgz, r-release (x86_64): PerMat_0.1.0.tgz, r-oldrel (x86_64): PerMat_0.1.0.tgz |
Linking:
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