Package: predictMe 0.2
predictMe: Visualize Individual Prediction Performance
Enables researchers to visualize the prediction performance of any algorithm on the individual level (or close to it), given that the predicted outcome is either binary or continuous. Visual results are instantly comprehensible.
Authors:
predictMe_0.2.tar.gz
predictMe_0.2.zip(r-4.5)predictMe_0.2.zip(r-4.4)predictMe_0.2.zip(r-4.3)
predictMe_0.2.tgz(r-4.4-any)predictMe_0.2.tgz(r-4.3-any)
predictMe_0.2.tar.gz(r-4.5-noble)predictMe_0.2.tar.gz(r-4.4-noble)
predictMe_0.2.tgz(r-4.4-emscripten)predictMe_0.2.tgz(r-4.3-emscripten)
predictMe.pdf |predictMe.html✨
predictMe/json (API)
| # Install 'predictMe' in R: |
| install.packages('predictMe', repos = c('https://mmiche.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mmiche/predictme/issues
Last updated 2 years agofrom:2733987ac5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
Exports:addContinuousbinBinarybinContinuousget2by2makeDiffPlotmakeDiffPlotColormakeTablePlotquickSim
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRdpackreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
