breakDown: Break Down Plots

Break Down Plots are inspired by waterfall plots created by 'xgboostExplainer' package (see <https://github.com/AppliedDataSciencePartners/xgboostExplainer>). The idea behind Break Down Plots it to decompose model prediction for a single observation. Break Down Plots show the contribution of every variable present in the model. Such plots will work for binary classifiers and general regression models.

Version: 0.1.5
Depends: R (≥ 3.0)
Imports: ggplot2
Suggests: knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, ranger
Published: 2018-04-06
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek at gmail.com>
BugReports: https://github.com/pbiecek/breakDown/issues
License: GPL-2
URL: https://pbiecek.github.io/breakDown/
NeedsCompilation: no
Citation: breakDown citation info
Materials: NEWS
CRAN checks: breakDown results

Downloads:

Reference manual: breakDown.pdf
Vignettes: model agnostic breakDown plots for caret
breakDown plots for the generalised linear model
breakDown plots for the linear model
model agnostic breakDown plots for randomForest
model agnostic breakDown plots for ranger
model agnostic breakDown plots for SVM model
model agnostic breakDown plots for xgboost
Package source: breakDown_0.1.5.tar.gz
Windows binaries: r-devel: breakDown_0.1.5.zip, r-release: breakDown_0.1.5.zip, r-oldrel: breakDown_0.1.5.zip
OS X binaries: r-release: breakDown_0.1.5.tgz, r-oldrel: breakDown_0.1.5.tgz
Old sources: breakDown archive

Reverse dependencies:

Reverse imports: DALEX, live

Linking:

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