Other packages > Find by keyword >

StratifiedRF  

Builds Trees by Sampling Variables in Groups
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("StratifiedRF", "0.2.2")



Attach the package and use:
library("StratifiedRF")
Maintained by
David Cortes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-21
Latest Update: 2017-06-30
Description:
Random Forest-like tree ensemble that works with groups of predictor variables. When building a tree, a number of variables is taken randomly from each group separately, thus ensuring that it considers variables from each group for the splits. Useful when rows contain information about different things (e.g. user information and product information) and it's not sensible to make a prediction with information from only one group of variables, or when there are far more variables from one group than the other and it's desired to have groups appear evenly on trees. Trees are grown using the C5.0 algorithm rather than the usual CART algorithm. Supports parallelization (multithreaded), missing values in predictors, and categorical variables (without doing One-Hot encoding in the processing). Can also be used to create a regular (non-stratified) Random Forest-like model, but made up of C5.0 trees and with some additional control options. As it's built with C5.0 trees, it works only for classification (not for regression).
How to cite:
David Cortes (2017). StratifiedRF: Builds Trees by Sampling Variables in Groups. R package version 0.2.2, https://cran.r-project.org/web/packages/StratifiedRF. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 0.1.1 (2017-06-21 17:25)
Other packages that cited StratifiedRF R package
View StratifiedRF citation profile
Other R packages that StratifiedRF depends, imports, suggests or enhances
Complete documentation for StratifiedRF
Functions, R codes and Examples using the StratifiedRF R package
Some associated functions: predict.stratified_rf . print.stratified_rf . stratified_rf . summary.stratified_rf . varimp_stratified_rf . 
Some associated R codes: rf_c50.R .  Full StratifiedRF package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gRim  
Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Grap ...
Download / Learn more Package Citations See dependency  
gecko  
Geographical Ecology and Conservation Knowledge Online
Includes a collection of geographical analysis functions aimed primarily at ecology and conservation ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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