PerMat

Performance Metrics in Predictive Modeling

v0.1.0 · Jun 14, 2024 · MIT + file LICENSE

Description

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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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	27.6s
r-devel-linux-x86_64-debian-gcc	OK	21.8s
r-devel-linux-x86_64-fedora-clang	OK	43.2s
r-devel-linux-x86_64-fedora-gcc	OK	70s
r-devel-windows-x86_64	OK	49s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	45s
r-oldrel-windows-x86_64	OK	52s
r-patched-linux-x86_64	OK	25.5s
r-release-linux-x86_64	OK
r-release-macos-arm64	OK	15s
r-release-macos-x86_64	OK	46s
r-release-windows-x86_64	OK	48s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Version History

1 tracked

new 0.1.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jun 14, 2024. Releases before tracking aren’t shown.