Package: PerMat 0.1.0
Pankaj Das
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>.
Authors:
PerMat_0.1.0.tar.gz
PerMat_0.1.0.tar.gz(r-4.5-noble)PerMat_0.1.0.tar.gz(r-4.4-noble)
PerMat_0.1.0.tgz(r-4.4-emscripten)PerMat_0.1.0.tgz(r-4.3-emscripten)
PerMat.pdf |PerMat.html✨
PerMat/json (API)
# Install 'PerMat' in R: |
install.packages('PerMat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:81141a6e95. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-linux | OK | Dec 12 2024 |
Exports:accuracyCVRMSEMAEMAPEMENRMSER2RMSE
Dependencies: