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]
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 26 Mar. 2025.
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
02/2402/2502/2602/2702/2803/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/25Downloads for randomForestVIP051015202530354045505560TrendBars

Today's Hot Picks in Authors and Packages

photobiologyPlants  
Plant Photobiology Related Functions and Data
Provides functions for quantifying visible (VIS) and ultraviolet (UV) radiation in relation to the ...
Download / Learn more Package Citations See dependency  
MGL  
Module Graphical Lasso
An aggressive dimensionality reduction and network estimationtechnique for a high-dimensiona ...
Download / Learn more Package Citations See dependency  
fPortfolio  
Rmetrics - Portfolio Selection and Optimization
A collection of functions to optimize portfolios and to analyze them from different points of view. ...
Download / Learn more Package Citations See dependency  
sAIC  
Akaike Information Criterion for Sparse Estimation
Computes the Akaike information criterion for the generalized linear models (logistic regression, Po ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
DySS  
Dynamic Screening Systems
In practice, we will encounter problems where the longitudinal performance of processes needs to be ...
Download / Learn more Package Citations See dependency  
Maintainer: Lu You (view profile)

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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