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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 ORCID iD [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.pdf
Vignettes: Performance Metric of fitted model

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:

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.