predictMe - Visualize Individual Prediction Performance | Why? | How to? | Continuous (c) outcome | Functions quickSim and binContinuous (c) | Function makeTablePlot (c) | Function makeDiffPlot (c) | Function makeDiffPlotColor (c) | Binary (b) outcome | Functions quickSim and binBinary (b) | Function makeTablePlot (b) | Function makeDiffPlot (b) | Function makeDiffPlotColor (b) | Bin noise | Misc and References
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-4.7-any)predictMe_0.2.zip(r-4.6-any)predictMe_0.2.zip(r-4.5-any)
predictMe_0.2.tgz(r-4.6-any)predictMe_0.2.tgz(r-4.5-any)
predictMe_0.2.tar.gz(r-4.7-any)predictMe_0.2.tar.gz(r-4.6-any)
predictMe_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:2733987ac5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 147 | ||
| source / vignettes | OK | 191 | ||
| linux-release | OK | 139 | ||
| macos-release | OK | 166 | ||
| macos-oldrel | OK | 191 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 139 |
Exports:addContinuousbinBinarybinContinuousget2by2makeDiffPlotmakeDiffPlotColormakeTablePlotquickSim
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrR6rbibutilsRColorBrewerRcppRdpackreshape2rlangS7scalesstringistringrvctrsviridisLitewithr
