CRAN/E | randomForestExplainer

randomForestExplainer

Explaining and Visualizing Random Forests in Terms of Variable Importance

Installation

About

A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) doi:10.1198/jasa.2009.tm08622, Leo Breiman (2001) doi:10.1023/A:1010933404324).

github.com/ModelOriented/randomForestExplainer

Key Metrics

Version 0.10.1
R ≥ 3.0
Published 2020-07-11 1554 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks randomForestExplainer results

Downloads

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Maintainer

Maintainer

Yue Jiang

Authors

Aleksandra Paluszynska

aut

Przemyslaw Biecek

aut / ths

Yue Jiang

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Understanding random forests with randomForestExplainer

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

randomForestExplainer archive

Depends

R ≥ 3.0

Imports

data.table ≥ 1.10.4
dplyr ≥ 0.7.1
DT ≥ 0.2
GGally ≥ 1.3.0
ggplot2 ≥ 2.2.1
ggrepel ≥ 0.6.5
randomForest ≥ 4.6.12
ranger ≥ 0.9.0
reshape2 ≥1.4.2
rmarkdown ≥ 1.5

Suggests

knitr
MASS ≥ 7.3.47
testthat

Reverse Suggests

sits