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:Marcel Miché

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'))

Peer review:

Bug tracker:https://github.com/mmiche/predictme/issues

On CRAN:

8 exports 1 stars 0.73 score 35 dependencies 3 scripts 181 downloads

Last updated 2 years agofrom:2733987ac5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winOKAug 31 2024
R-4.5-linuxOKAug 31 2024
R-4.4-winOKAug 31 2024
R-4.4-macOKAug 31 2024
R-4.3-winOKAug 31 2024
R-4.3-macOKAug 31 2024

Exports:addContinuousbinBinarybinContinuousget2by2makeDiffPlotmakeDiffPlotColormakeTablePlotquickSim

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRdpackreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

predictMe: Why and how to?

Marcel Miché

Rendered frompredictMe.Rmdusingknitr::rmarkdownon Aug 31 2024.

Last update: 2022-11-10
Started: 2022-05-14