Other packages > Find by keyword >

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 10 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited randomForestVIP R package
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

mixtox  
Dose Response Curve Fitting and Mixture Toxicity Assessment
Curve Fitting of monotonic(sigmoidal) & non-monotonic(J-shaped) dose-response data. Predicting mixt ...
Download / Learn more Package Citations See dependency  
sparseR  
Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
An implementation of ranked sparsity methods, including penalized regression methods such as the spa ...
Download / Learn more Package Citations See dependency  
cmvnorm  
The Complex Multivariate Gaussian Distribution
Various utilities for the complex multivariate Gaussian distribution and complex Gaussian processes. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
mcompanion  
Objects and Methods for Multi-Companion Matrices
Provides a class for multi-companion matrices with methods for arithmetic and factorization. A m ...
Download / Learn more Package Citations See dependency  
hagis  
Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of sus ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA