ceterisParibus: Ceteris Paribus Plots (What-If Plots) for a Single Observation

Ceteris Paribus Plots (What-If Plots) are designed to present model responses around a single point 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. The Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.

Version: 0.2.1
Depends: R (≥ 3.3), ggplot2, gower
Imports: DALEX, knitr
Suggests: randomForest, ggiraph
Published: 2018-07-05
Author: Przemyslaw Biecek [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
CRAN checks: ceterisParibus results

Downloads:

Reference manual: ceterisParibus.pdf
Vignettes: Title of your vignette
Title of your vignette
Package source: ceterisParibus_0.2.1.tar.gz
Windows binaries: r-devel: ceterisParibus_0.2.1.zip, r-release: ceterisParibus_0.2.1.zip, r-oldrel: ceterisParibus_0.2.1.zip
OS X binaries: r-release: ceterisParibus_0.2.1.tgz, r-oldrel: ceterisParibus_0.2.1.tgz

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