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tree.interpreter: Random Forest Prediction Decomposition and Feature ImportanceMeasure

An R re-implementation of the 'treeinterpreter' package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as 'prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <doi:10.48550/arXiv.1906.10845>.

Version:0.1.3
Imports:Rcpp (≥ 1.0.2)
LinkingTo:Rcpp,RcppArmadillo
Suggests:MASS,randomForest,ranger,testthat (≥ 2.1.0),knitr,rmarkdown,covr
Published:2025-09-18
DOI:10.32614/CRAN.package.tree.interpreter
Author:Qingyao Sun [aut, cre]
Maintainer:Qingyao Sun <sunqingyao19970825 at gmail.com>
BugReports:https://github.com/nalzok/tree.interpreter/issues
License:MIT + fileLICENSE
URL:https://github.com/nalzok/tree.interpreter
NeedsCompilation:yes
Citation:tree.interpreter citation info
Materials:README,NEWS
CRAN checks:tree.interpreter results

Documentation:

Reference manual:tree.interpreter.html ,tree.interpreter.pdf
Vignettes:MDI (source,R code)

Downloads:

Package source: tree.interpreter_0.1.3.tar.gz
Windows binaries: r-devel:tree.interpreter_0.1.3.zip, r-release:tree.interpreter_0.1.3.zip, r-oldrel:tree.interpreter_0.1.3.zip
macOS binaries: r-release (arm64):tree.interpreter_0.1.3.tgz, r-oldrel (arm64):tree.interpreter_0.1.3.tgz, r-release (x86_64):tree.interpreter_0.1.3.tgz, r-oldrel (x86_64):tree.interpreter_0.1.3.tgz
Old sources: tree.interpreter archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tree.interpreterto link to this page.


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