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ceterisParibus: Ceteris Paribus Profiles

Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.

Version: 0.4.2
Depends: R (≥ 3.3), ggplot2, gower
Imports: DALEX, knitr
Suggests: randomForest, ggiraph, e1071, testthat, rpart
Published: 2020-03-28
Author: Przemyslaw Biecek ORCID iD [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek at gmail.com>
BugReports: https://github.com/pbiecek/ceterisParibus/issues
License: GPL-2
URL: https://pbiecek.github.io/ceterisParibus/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ceterisParibus results

Documentation:

Reference manual: ceterisParibus.pdf

Downloads:

Package source: ceterisParibus_0.4.2.tar.gz
Windows binaries: r-devel: ceterisParibus_0.4.2.zip, r-release: ceterisParibus_0.4.2.zip, r-oldrel: ceterisParibus_0.4.2.zip
macOS binaries: r-release (arm64): ceterisParibus_0.4.2.tgz, r-oldrel (arm64): ceterisParibus_0.4.2.tgz, r-release (x86_64): ceterisParibus_0.4.2.tgz, r-oldrel (x86_64): ceterisParibus_0.4.2.tgz
Old sources: ceterisParibus archive

Linking:

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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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