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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.

Version: 0.1
Depends: R (≥ 3.3.0)
Imports: Rdpack, ggplot2, reshape2
Suggests: knitr, rmarkdown
Published: 2022-05-24
Author: Marcel Miché
Maintainer: Marcel Miché <marcel.miche.predictme at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/mmiche/predictMe
NeedsCompilation: no
Materials: README
CRAN checks: predictMe results

Documentation:

Reference manual: predictMe.pdf
Vignettes: predictMe: Why and how to?

Downloads:

Package source: predictMe_0.1.tar.gz
Windows binaries: r-devel: predictMe_0.1.zip, r-release: predictMe_0.1.zip, r-oldrel: predictMe_0.1.zip
macOS binaries: r-release (arm64): predictMe_0.1.tgz, r-oldrel (arm64): predictMe_0.1.tgz, r-release (x86_64): predictMe_0.1.tgz, r-oldrel (x86_64): predictMe_0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=predictMe to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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