live: Local Interpretable (Model-Agnostic) Visual Explanations

Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>. More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.

Version: 1.5.13
Depends: R (≥ 3.0.2)
Imports: mlr, dplyr, breakDown, data.table, forestmodel, shiny, MASS, ggplot2, gower, e1071
Suggests: knitr, rmarkdown, testthat, glmnet, covr, DALEX, RWeka, mda, modeltools
Published: 2020-01-15
DOI: 10.32614/
Author: Mateusz Staniak [cre, aut], Przemysław Biecek [aut]
Maintainer: Mateusz Staniak <mateusz.staniak at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: live citation info
Materials: README NEWS
CRAN checks: live results


Reference manual: live.pdf
Vignettes: "Case study: wine quality"


Package source: live_1.5.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): live_1.5.13.tgz, r-oldrel (arm64): live_1.5.13.tgz, r-release (x86_64): live_1.5.13.tgz, r-oldrel (x86_64): live_1.5.13.tgz
Old sources: live archive


Please use the canonical form to link to this page.