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randomForestVIP  

Tune Random Forests Based on Variable Importance & Plot Results
View on CRAN: Click here


Download and install randomForestVIP package within the R console
Install from CRAN:
install.packages("randomForestVIP")

Install from Github:
library("remotes")
install_github("cran/randomForestVIP")

Install by package version:
library("remotes")
install_version("randomForestVIP", "0.1.3")



Attach the package and use:
library("randomForestVIP")
Maintained by
Kelvyn Bladen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-19
Latest Update: 2023-07-19
Description:
Functions for assessing variable relations and associations prior to modeling with a Random Forest algorithm (although these are relevant for any predictive model). Metrics such as partial correlations and variance inflation factors are tabulated as well as plotted for the user. A function is available for tuning the main Random Forest hyper-parameter based on model performance and variable importance metrics. This grid-search technique provides tables and plots showing the effect of the main hyper-parameter on each of the assessment metrics. It also returns each of the evaluated models to the user. The package also provides superior variable importance plots for individual models. All of the plots are developed so that the user has the ability to edit and improve further upon the plots. Derivations and methodology are described in Bladen (2022) .
How to cite:
Kelvyn Bladen (2023). randomForestVIP: Tune Random Forests Based on Variable Importance & Plot Results. R package version 0.1.3, https://cran.r-project.org/web/packages/randomForestVIP. Accessed 21 Jul. 2026.
Previous versions and publish date:
No previous versions
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View randomForestVIP citation profile
Other R packages that randomForestVIP depends, imports, suggests or enhances
Complete documentation for randomForestVIP
Functions, R codes and Examples using the randomForestVIP R package
Some associated functions: boston . ggvip . lichen . mtry_compare . partial_cor . robust_vifs . 
Some associated R codes: data.R . ggvip.R . globals.R . mtry_compare.R . partial_cor.R . robust_vifs.R .  Full randomForestVIP package functions and examples
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