Other packages > Find by keyword >

iBreakDown  

Model Agnostic Instance Level Variable Attributions
View on CRAN: Click here


Download and install iBreakDown package within the R console
Install from CRAN:
install.packages("iBreakDown")

Install from Github:
library("remotes")
install_github("cran/iBreakDown")

Install by package version:
library("remotes")
install_version("iBreakDown", "2.1.2")



Attach the package and use:
library("iBreakDown")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-04
Latest Update: 2023-12-01
Description:
Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) , with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) This package is a part of the 'DrWhy.AI' universe (Biecek 2018) .
How to cite:
Przemyslaw Biecek (2019). iBreakDown: Model Agnostic Instance Level Variable Attributions. R package version 2.1.2, https://cran.r-project.org/web/packages/iBreakDown. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 0.9.5 (2019-04-04 14:20), 0.9.6 (2019-04-30 19:10), 0.9.9 (2019-08-27 00:50), 1.0 (2020-02-18 15:10), 1.1.1 (2020-04-15 07:50), 1.2.0 (2020-04-20 21:30), 1.3.1 (2020-07-29 14:00), 2.0.1 (2021-05-07 15:50)
Other packages that cited iBreakDown R package
View iBreakDown citation profile
Other R packages that iBreakDown depends, imports, suggests or enhances
Complete documentation for iBreakDown
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA