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-4.5-any)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

On CRAN:

3.70 score 1 stars 3 scripts 194 downloads 8 exports 35 dependencies

Last updated 2 years agofrom:2733987ac5. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winOKJan 28 2025
R-4.5-macOKJan 28 2025
R-4.5-linuxOKJan 28 2025
R-4.4-winOKJan 28 2025
R-4.4-macOKJan 28 2025
R-4.3-winOKJan 28 2025
R-4.3-macOKJan 28 2025

Exports:addContinuousbinBinarybinContinuousget2by2makeDiffPlotmakeDiffPlotColormakeTablePlotquickSim

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRdpackreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

predictMe: Why and how to?

Marcel Miché

Rendered frompredictMe.Rmdusingknitr::rmarkdownon Jan 28 2025.

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