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
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.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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