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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 |
Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | PerMat results |
Reference manual: | PerMat.pdf |
Vignettes: |
Performance Metric of fitted model |
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 |
Please use the canonical form https://CRAN.R-project.org/package=PerMat to link to this page.
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.