The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable
Importance
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>).
| Version: |
0.10.1 |
| 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 |
| Published: |
2020-07-11 |
| Author: |
Aleksandra Paluszynska [aut],
Przemyslaw Biecek [aut, ths],
Yue Jiang  [aut,
cre] |
| Maintainer: |
Yue Jiang <rivehill at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| URL: |
https://github.com/ModelOriented/randomForestExplainer |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
randomForestExplainer results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=randomForestExplainer
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.