Package: mupet 0.1.0
mupet: Multiclass Performance Evaluation Toolkit
Implementation of custom 'tidymodels' metrics for multi-class prediction models with a single negative class. Currently are implemented macro-average sensitivity and specificity as in Mortaz, Ebrahim (2020) "Imbalance accuracy metric for model selection in multi-class imbalance classification problems” <doi:10.1016/j.knosys.2020.106490> and a generalized weighted Youden index as in Li, D.L., Shen F., Yin Y., Peng J.X and Chen P.Y. (2013) “Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity” <doi:10.3760/cma.j.issn.0366-6999.20123102>.
Authors:
mupet_0.1.0.tar.gz
mupet_0.1.0.zip(r-4.7)mupet_0.1.0.zip(r-4.6)mupet_0.1.0.zip(r-4.5)
mupet_0.1.0.tgz(r-4.6-any)mupet_0.1.0.tgz(r-4.5-any)
mupet_0.1.0.tar.gz(r-4.7-any)mupet_0.1.0.tar.gz(r-4.6-any)
mupet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mupet/json (API)
NEWS
| # Install 'mupet' in R: |
| install.packages('mupet', repos = c('https://astamm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/astamm/mupet/issues
Pkgdown/docs site:https://astamm.github.io
Last updated from:4d855ed30f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 149 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 77 | ||
| macos-oldrel-arm64 | OK | 74 | ||
| windows-devel | OK | 102 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 87 |
Exports:macro_average_sensitivitymacro_average_sensitivity_vecmacro_average_specificitymacro_average_specificity_vecweighted_youden_indexweighted_youden_index_vec
Dependencies:clidplyrgenericsgluehardhatlifecyclemagrittrpillarpkgconfigR6rlangsparsevctrstibbletidyselectutf8vctrswithryardstick
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Macro Average Sensitivity | macro_average_sensitivity macro_average_sensitivity.data.frame macro_average_sensitivity_vec |
| Macro Average Specificity | macro_average_specificity macro_average_specificity.data.frame macro_average_specificity_vec |
| Weighted Youden Index | weighted_youden_index weighted_youden_index.data.frame weighted_youden_index_vec |
