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:Pankaj Das [aut, cre]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 0 dependencies 1 scripts 733 downloads

Last updated 3 months agofrom:81141a6e95. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-linuxOKSep 13 2024

Exports:accuracyCVRMSEMAEMAPEMENRMSER2RMSE

Dependencies:

Performance Metric of fitted model

Rendered fromPerMat.Rmdusingknitr::rmarkdownon Sep 13 2024.

Last update: 2024-06-15
Started: 2024-06-15