README.md
In ariKoi/vis2rfi: Visualising 2Way Random Forest Interactions
Visualising 2Way Random Forest Interactions
Utilize random forest variable importance and contribution in order to visualise interactive 3d surfaces of interaction effects. The approach is that of data subsampling and smoothing, in order to experiment with 2-way effect visualizations and to accomodate results from larger data sets that are more difficult to be viewed.
Installation
You can install the package with:
devtools::install.packages("vis2rfi")
Example
See the package's website for usage and examples.
ariKoi/vis2rfi documentation built on Dec. 25, 2021, 6:42 a.m.
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Visualising 2Way Random Forest Interactions
Utilize random forest variable importance and contribution in order to visualise interactive 3d surfaces of interaction effects. The approach is that of data subsampling and smoothing, in order to experiment with 2-way effect visualizations and to accomodate results from larger data sets that are more difficult to be viewed.
Installation
You can install the package with:
devtools::install.packages("vis2rfi")
Example
See the package's website for usage and examples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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