predictMe: Visualize Individual Prediction Performance (original) (raw)
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 |
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| Depends: | R (≥ 3.3.0) |
| Imports: | Rdpack, ggplot2, reshape2 |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-05-24 |
| DOI: | 10.32614/CRAN.package.predictMe |
| Author: | Marcel Miché |
| Maintainer: | Marcel Miché <marcel.miche.predictme at gmail.com> |
| License: | MIT + file |
| URL: | https://github.com/mmiche/predictMe |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | predictMe results |
Documentation:
| Reference manual: | predictMe.pdf |
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| Vignettes: | predictMe: Why and how to? |
Downloads:
| Package source: | predictMe_0.1.tar.gz |
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| 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 |
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