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breakDown
View on CRAN: Click
here
Download and install breakDown package within the R console
Install from CRAN:
install.packages("breakDown")
Install from Github:
library("remotes")
install_github("cran/breakDown") Install by package version:
library("remotes")
install_version("breakDown", "0.2.2") Attach the package and use:
library("breakDown")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-29
Latest Update: 2024-03-11
Description:
Model agnostic tool for decomposition of predictions from black boxes.
Break Down Table shows contributions of every variable to a final prediction.
Break Down Plot presents variable contributions in a concise graphical way.
This package work for binary classifiers and general regression models.
How to cite:
Przemyslaw Biecek (2018). breakDown: Model Agnostic Explainers for Individual Predictions. R package version 0.2.2, https://cran.r-project.org/web/packages/breakDown. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Complete documentation for breakDown
Functions, R codes and Examples using
the breakDown R package
Some associated functions: HR_data . betas . break_down . broken.default . broken.glm . broken.lm . broken . plot.broken . print.broken . wine .
Some associated R codes: HR_data.R . betas.R . break.R . break_agnostic.R . break_interactions.R . create.R . plot.R . print.R . wine_data.R . Full breakDown package functions and examples
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